Submit Search
Upload
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Diagnosis
•
0 likes
•
7 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i4/IRJET-V6I41309.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 4
Download now
Download to read offline
Recommended
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Di...
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Di...
IRJET Journal
Â
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
IOSR Journals
Â
IRJET- Melanoma Detection using Feed Forward Neural Network and Therapeutic S...
IRJET- Melanoma Detection using Feed Forward Neural Network and Therapeutic S...
IRJET Journal
Â
Segmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture Features
IJERA Editor
Â
Palmprint and Handgeometry Recognition using FAST features and Region properties
Palmprint and Handgeometry Recognition using FAST features and Region properties
Editor IJCATR
Â
IRJET - A Deep Novel Study on Different CNN Algorithms for Face Skin Disease ...
IRJET - A Deep Novel Study on Different CNN Algorithms for Face Skin Disease ...
IRJET Journal
Â
IRJET- Automatic Detection of Diabetic Retinopathy Lesions
IRJET- Automatic Detection of Diabetic Retinopathy Lesions
IRJET Journal
Â
IRJET- Skin Cancer Detection using Digital Image Processing
IRJET- Skin Cancer Detection using Digital Image Processing
IRJET Journal
Â
Recommended
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Di...
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Di...
IRJET Journal
Â
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
IOSR Journals
Â
IRJET- Melanoma Detection using Feed Forward Neural Network and Therapeutic S...
IRJET- Melanoma Detection using Feed Forward Neural Network and Therapeutic S...
IRJET Journal
Â
Segmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture Features
IJERA Editor
Â
Palmprint and Handgeometry Recognition using FAST features and Region properties
Palmprint and Handgeometry Recognition using FAST features and Region properties
Editor IJCATR
Â
IRJET - A Deep Novel Study on Different CNN Algorithms for Face Skin Disease ...
IRJET - A Deep Novel Study on Different CNN Algorithms for Face Skin Disease ...
IRJET Journal
Â
IRJET- Automatic Detection of Diabetic Retinopathy Lesions
IRJET- Automatic Detection of Diabetic Retinopathy Lesions
IRJET Journal
Â
IRJET- Skin Cancer Detection using Digital Image Processing
IRJET- Skin Cancer Detection using Digital Image Processing
IRJET Journal
Â
IRJET -Malignancy Detection using Pattern Recognition and ANNS
IRJET -Malignancy Detection using Pattern Recognition and ANNS
IRJET Journal
Â
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
IRJET Journal
Â
Contour evolution method for precise boundary delineation of medical images
Contour evolution method for precise boundary delineation of medical images
TELKOMNIKA JOURNAL
Â
Efficient Small Template Iris Recognition System Using Wavelet Transform
Efficient Small Template Iris Recognition System Using Wavelet Transform
CSCJournals
Â
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
IRJET Journal
Â
Microarray Data Classification Using Support Vector Machine
Microarray Data Classification Using Support Vector Machine
CSCJournals
Â
Vein palm recognition model using fusion of features
Vein palm recognition model using fusion of features
TELKOMNIKA JOURNAL
Â
A study of multimodal biometric system
A study of multimodal biometric system
eSAT Publishing House
Â
QPLC: A Novel Multimodal Biometric Score Fusion Method
QPLC: A Novel Multimodal Biometric Score Fusion Method
CSCJournals
Â
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
ijcsit
Â
Skin Cancer Detection
Skin Cancer Detection
IJERA Editor
Â
50120140506006
50120140506006
IAEME Publication
Â
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
IJSRD
Â
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
CSCJournals
Â
IRJET - Liver Cancer Detection using Image Processing
IRJET - Liver Cancer Detection using Image Processing
IRJET Journal
Â
A new swarm intelligence information technique for improving information bala...
A new swarm intelligence information technique for improving information bala...
IJECEIAES
Â
Research Paper_Joy A. Bowman
Research Paper_Joy A. Bowman
Joy Bowman, CSCA
Â
Paper id 25201441
Paper id 25201441
IJRAT
Â
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Apollo Hospitals
Â
Integrating Fusion levels for Biometric Authentication System
Integrating Fusion levels for Biometric Authentication System
IOSRJECE
Â
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET Journal
Â
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
IRJET Journal
Â
More Related Content
What's hot
IRJET -Malignancy Detection using Pattern Recognition and ANNS
IRJET -Malignancy Detection using Pattern Recognition and ANNS
IRJET Journal
Â
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
IRJET Journal
Â
Contour evolution method for precise boundary delineation of medical images
Contour evolution method for precise boundary delineation of medical images
TELKOMNIKA JOURNAL
Â
Efficient Small Template Iris Recognition System Using Wavelet Transform
Efficient Small Template Iris Recognition System Using Wavelet Transform
CSCJournals
Â
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
IRJET Journal
Â
Microarray Data Classification Using Support Vector Machine
Microarray Data Classification Using Support Vector Machine
CSCJournals
Â
Vein palm recognition model using fusion of features
Vein palm recognition model using fusion of features
TELKOMNIKA JOURNAL
Â
A study of multimodal biometric system
A study of multimodal biometric system
eSAT Publishing House
Â
QPLC: A Novel Multimodal Biometric Score Fusion Method
QPLC: A Novel Multimodal Biometric Score Fusion Method
CSCJournals
Â
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
ijcsit
Â
Skin Cancer Detection
Skin Cancer Detection
IJERA Editor
Â
50120140506006
50120140506006
IAEME Publication
Â
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
IJSRD
Â
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
CSCJournals
Â
IRJET - Liver Cancer Detection using Image Processing
IRJET - Liver Cancer Detection using Image Processing
IRJET Journal
Â
A new swarm intelligence information technique for improving information bala...
A new swarm intelligence information technique for improving information bala...
IJECEIAES
Â
Research Paper_Joy A. Bowman
Research Paper_Joy A. Bowman
Joy Bowman, CSCA
Â
Paper id 25201441
Paper id 25201441
IJRAT
Â
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Apollo Hospitals
Â
Integrating Fusion levels for Biometric Authentication System
Integrating Fusion levels for Biometric Authentication System
IOSRJECE
Â
What's hot
(20)
IRJET -Malignancy Detection using Pattern Recognition and ANNS
IRJET -Malignancy Detection using Pattern Recognition and ANNS
Â
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
IRJET- Nail based Disease Analysis at Earlier Stage using Median Filter i...
Â
Contour evolution method for precise boundary delineation of medical images
Contour evolution method for precise boundary delineation of medical images
Â
Efficient Small Template Iris Recognition System Using Wavelet Transform
Efficient Small Template Iris Recognition System Using Wavelet Transform
Â
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
Study and Review of Various Image Classification Methods for Diabetes Mellitu...
Â
Microarray Data Classification Using Support Vector Machine
Microarray Data Classification Using Support Vector Machine
Â
Vein palm recognition model using fusion of features
Vein palm recognition model using fusion of features
Â
A study of multimodal biometric system
A study of multimodal biometric system
Â
QPLC: A Novel Multimodal Biometric Score Fusion Method
QPLC: A Novel Multimodal Biometric Score Fusion Method
Â
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
AN EFFECTIVE AND EFFICIENT FEATURE SELECTION METHOD FOR LUNG CANCER DETECTION
Â
Skin Cancer Detection
Skin Cancer Detection
Â
50120140506006
50120140506006
Â
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
Analysis And Detection of Infected Fruit Part Using Improved k-means Clusteri...
Â
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
International Journal of Biometrics and Bioinformatics(IJBB) Volume (2) Issue...
Â
IRJET - Liver Cancer Detection using Image Processing
IRJET - Liver Cancer Detection using Image Processing
Â
A new swarm intelligence information technique for improving information bala...
A new swarm intelligence information technique for improving information bala...
Â
Research Paper_Joy A. Bowman
Research Paper_Joy A. Bowman
Â
Paper id 25201441
Paper id 25201441
Â
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Role of Breast Tomosynthesis in the Morphological Analysis of Breast Lesions
Â
Integrating Fusion levels for Biometric Authentication System
Integrating Fusion levels for Biometric Authentication System
Â
Similar to IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Diagnosis
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET Journal
Â
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
IRJET Journal
Â
IRJET- Analysis of Skin Cancer using ABCD Technique
IRJET- Analysis of Skin Cancer using ABCD Technique
IRJET Journal
Â
IRJET - Histogram Analysis for Melanoma Discrimination in Real Time Image
IRJET - Histogram Analysis for Melanoma Discrimination in Real Time Image
IRJET Journal
Â
IRJET - Detection of Skin Cancer using Convolutional Neural Network
IRJET - Detection of Skin Cancer using Convolutional Neural Network
IRJET Journal
Â
Skin Cancer Detection Using Deep Learning Techniques
Skin Cancer Detection Using Deep Learning Techniques
IRJET Journal
Â
Skin Cancer Detection Application
Skin Cancer Detection Application
IRJET Journal
Â
IRJET- Texture Feature Extraction for Classification of Melanoma
IRJET- Texture Feature Extraction for Classification of Melanoma
IRJET Journal
Â
IRJET- Skin Disease Detection using Image Processing with Data Mining and Dee...
IRJET- Skin Disease Detection using Image Processing with Data Mining and Dee...
IRJET Journal
Â
DETECTION OF LESION USING SVM
DETECTION OF LESION USING SVM
adeij1
Â
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET Journal
Â
97202107
97202107
IJRAT
Â
Pre-treatment and Segmentation of Digital Mammogram
Pre-treatment and Segmentation of Digital Mammogram
IRJET Journal
Â
SKIN CANCER ANALYSIS USING CNN
SKIN CANCER ANALYSIS USING CNN
IRJET Journal
Â
CANCER CLUMPS DETECTION USING IMAGE PROCESSING BASED ON CELL COUNTING
CANCER CLUMPS DETECTION USING IMAGE PROCESSING BASED ON CELL COUNTING
IRJET Journal
Â
A REVIEW ON BRAIN TUMOR DETECTION FOR HIGHER ACCURACY USING DEEP NEURAL NETWO...
A REVIEW ON BRAIN TUMOR DETECTION FOR HIGHER ACCURACY USING DEEP NEURAL NETWO...
IRJET Journal
Â
Detection of Skin Cancer Based on Skin Lesion Images UsingDeep Learning
Detection of Skin Cancer Based on Skin Lesion Images UsingDeep Learning
IRJET Journal
Â
Multi-Class Skin Disease Classification using Pre-Processing and Multi- Model...
Multi-Class Skin Disease Classification using Pre-Processing and Multi- Model...
IRJET Journal
Â
IRJET- Lung Cancer Nodules Classification and Detection using SVM and CNN...
IRJET- Lung Cancer Nodules Classification and Detection using SVM and CNN...
IRJET Journal
Â
IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET Journal
Â
Similar to IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Diagnosis
(20)
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin Cancer
Â
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
SKIN DISEASE IMAGE RECOGNITION USING DEEPLEARNING TECHNIQUES: A REVIEW
Â
IRJET- Analysis of Skin Cancer using ABCD Technique
IRJET- Analysis of Skin Cancer using ABCD Technique
Â
IRJET - Histogram Analysis for Melanoma Discrimination in Real Time Image
IRJET - Histogram Analysis for Melanoma Discrimination in Real Time Image
Â
IRJET - Detection of Skin Cancer using Convolutional Neural Network
IRJET - Detection of Skin Cancer using Convolutional Neural Network
Â
Skin Cancer Detection Using Deep Learning Techniques
Skin Cancer Detection Using Deep Learning Techniques
Â
Skin Cancer Detection Application
Skin Cancer Detection Application
Â
IRJET- Texture Feature Extraction for Classification of Melanoma
IRJET- Texture Feature Extraction for Classification of Melanoma
Â
IRJET- Skin Disease Detection using Image Processing with Data Mining and Dee...
IRJET- Skin Disease Detection using Image Processing with Data Mining and Dee...
Â
DETECTION OF LESION USING SVM
DETECTION OF LESION USING SVM
Â
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
Â
97202107
97202107
Â
Pre-treatment and Segmentation of Digital Mammogram
Pre-treatment and Segmentation of Digital Mammogram
Â
SKIN CANCER ANALYSIS USING CNN
SKIN CANCER ANALYSIS USING CNN
Â
CANCER CLUMPS DETECTION USING IMAGE PROCESSING BASED ON CELL COUNTING
CANCER CLUMPS DETECTION USING IMAGE PROCESSING BASED ON CELL COUNTING
Â
A REVIEW ON BRAIN TUMOR DETECTION FOR HIGHER ACCURACY USING DEEP NEURAL NETWO...
A REVIEW ON BRAIN TUMOR DETECTION FOR HIGHER ACCURACY USING DEEP NEURAL NETWO...
Â
Detection of Skin Cancer Based on Skin Lesion Images UsingDeep Learning
Detection of Skin Cancer Based on Skin Lesion Images UsingDeep Learning
Â
Multi-Class Skin Disease Classification using Pre-Processing and Multi- Model...
Multi-Class Skin Disease Classification using Pre-Processing and Multi- Model...
Â
IRJET- Lung Cancer Nodules Classification and Detection using SVM and CNN...
IRJET- Lung Cancer Nodules Classification and Detection using SVM and CNN...
Â
IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...
Â
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
Â
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
Â
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
Â
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
Â
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
Â
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
Â
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
Â
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Â
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
Â
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Â
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Â
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Â
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
Â
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Â
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Â
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
Â
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Â
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Â
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
Â
React based fullstack edtech web application
React based fullstack edtech web application
Â
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
Â
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Â
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Â
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Â
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Â
Recently uploaded
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Â
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
purnimasatapathy1234
Â
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Suman Mia
Â
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
Â
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
rehmti665
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Dr.Costas Sachpazis
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
Â
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Â
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
Asutosh Ranjan
Â
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
ranjana rawat
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
Â
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
Â
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
soniya singh
Â
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
RajkumarAkumalla
Â
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Â
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
RajaP95
Â
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Christo Ananth
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Â
Recently uploaded
(20)
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Â
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
Â
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Â
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
Â
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Â
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Â
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Â
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Â
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Â
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
Â
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
Â
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
Â
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
Â
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Â
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Â
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
HARDNESS, FRACTURE TOUGHNESS AND STRENGTH OF CERAMICS
Â
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Â
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
HARMONY IN THE NATURE AND EXISTENCE - Unit-IV
Â
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Â
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Â
IRJET- Three-Dimensional Analysis on Dermoscopic Images with RSA Encrypted Diagnosis
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4398 THREE-DIMENSIONAL ANALYSIS ON DERMOSCOPIC IMAGES WITH RSA ENCRYPTED DIAGNOSIS Divya Jayanadhan Nair1, Vishnu Prabha N Kaimal2 1M-Techstudent, Applied Electronics and Communication Engineering, NCERC, Kerala,India 2Assistant professor, Dept of Electronics and Communication Engineering, NCERC, Kerala,India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - There are many skin diseases in the present world. This leads to the death of n number of human beings. The main objective of the proposed work is to detect the early stages of melanoma. This proposed system introduces a noninvasive computerized dermoscopy system with RSA encryption .This methodmainlyconcentrateinthe detectionof skin cancer depth and the result of analysis is secured by RSA encryption method. The skin lesion images of the patient which is in the 2D form are converted into 3 D image after the depth estimation.Thus,the 3D skin Lesion image isobtainedby the depth analysis of the images. A 3D skin lesion reconstruction technique using the estimated depth obtained from regular dermoscopic images is presented. On basis of the 3D reconstruction, depth and 3D shape featuresareextracted. In addition to 3D designed to diagnose basal cell carcinoma, blue nevus, dermatofibroma, haemangioma, seborrhoeic keratosis and normal mole lesions. For experimental evaluations ISIC 2016: Melanoma Project datasets is considered which is freely available on net. Significant performance improvement is reported post inclusion of estimated depth and 3D features. RSA encryption will be applied on the result generated after the diagnosis. Key Words: 3D skin lesion, melanoma, blue nevus, dermatofibroma, haemangioma, seborrhoeic keratosis, ISIC dataset, RSA encryption. 1. INTRODUCTION As there are the increasing skin diseases in the world, the world health organizationdeclaresthatskincancer is the increasing disease [1]. Thus, there are various types of skin cancer can be classified as melanoma and the non-melanoma category [2].The diagnosis of the skin disease can be done at the early stages. The death rate due to the skin cancer in the united states alone will be 75%.The person who are having the melanoma skin cancer will die more than the person having non- melanoma skin cancer[3][4].There is an annual increase in the death rate per year is 2.6%.Thus,the early detection of skin cancer melanoma is achieved. The five year survival rate of 95% is reported. The survival rate of skin cancer is 13% [5]. Thus, the early detection of skin cancer is the important factor. The proposed method consists of dermoscopy technique which consists of non-invasivetechnique.Dermoscopy is the technique which is performed as applying thegel liquid in the lesion region. This method is known as stereomicroscope or dermatoscope which is used to magnifying the images. They are characterized by the skin color, structure and the pattern data of the skin region. The data which is gathered cannot be visible with the human eye. Thus, the skin lesions are identified with the above data and diagnosis them [7].Many dermatologists use many algorithm such as ABCD (Asymmetry, Border, Color and Diameter) [8], ABCDE (Asymmetry, Border, Color, Diameter and Evolution) [9] Menzies method [10] and the seven-point checklist [11].These method are undergoes by the diagnosis of skin cancer .By these method, detection of skin cancer is about 5-30% easy and accurate. This will be easy for the practice of dermatologists.Thesecannotbecarried out using naked eye [12]. 2. LITERATURE SURVEY A Multi Parameter Extraction and Classification System(MPECS) is proposed to distinguish early melanoma[12].A six stage approach is[11]adopted to remove the colour,texture and shape highlights. Grouping of three skin injury types, to be specific "Progressed Melanoma","Non-Melanoma,"Early Melanoma" is accomplished and not clarifiedaboutthe precise profundity of the tumor into favorable or harmful sorts. The utilization of traditional clinical calculations, for example, ABCD (Asymmetry, Border, Color and Diameter) [8], ABCDE (Asymmetry, Border, Color, Diameter and Evolution) [9],Menzies strategy [10] and the seven-point agenda [11] is receivedbyfor the analysis of melanoma skin sores. 3. METHODOLOGY The image processing techniques consists of following steps.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4399 3.1 IMAGE ACQUISITION Image acquisition is getting the input image through various sources such as camera or through x-ray, MRI scanning, CT scan and microscopic analysis. Thus, the image acquisition can be done in various input format such as jpeg, jpg, bmp and png format. 3.2 PRE-PROCESSING Pre-processing stages consist of various methods and various steps included inimageprocessingtechniques. They include 3.3 GRAY-SCALE CONVERSION Preprocessing stage consists of color conversion and filtering process. The input retinal images canbeinthe form of RGB images. These RGB images are converted into gray scale images.RGB images are converted into gray scale images due to the elimination of hue and saturation of the input images. 3.4 FILTERING Filtering process is done to eliminate the noise within the image. The filter which is used in the proposed work is the median filter. Median filter is used to eliminate the noise within the retinal images and also used to smoothen the retinal images. By eliminating the salt and pepper noise, the skin lesionimagescanbe smoothen. 3.5 SEGMENTATION Segmentation process is carried out to separate the lesion region from the other regions of the skin. The segmented part undergoes the various classification procedures to find the early stages of skin lesions. 3.6 CLASSIFICATION The classification process can be undergoes for the early stage detection of skin lesions in the human. There are various stages of classifiers which is namely SVM(support Vector Machine),Multi class SVM and ANN (Artificial Neural Networks).They are used to analysis the various stages of skin cancer in the diseased persons. 4. PROPOSED SYSTEM The Block diagram of the proposed workcanbeshown in the figure 4.1 Figure 4.1 Block diagram of the proposed work. 4.1 IMAGE ACQUISITION The input 3 dimensional images are acquired form the clinical database. They have the collection of various skin lesions patient images. More than n number of patient’s stages can be analyzed using image processing technique. The image acquisition stage is followed by the pre-processing stage. 4.2 PRE-PROCESSING This stage consists of various steps such as gray-scale image, filtering process. Thus, the output of these stages are shown in the figure 4.2 Figure 4.2 Graphical user interface short screen. 4.3 SEGMENTATION Pre-processing stages is followed by the segmentation process. The segmentation process is carriedoutusing adaptive snake model algorithm .This algorithm is carried out to separate the minor regions of the skin lesions .The final stages of segmentation in shown in the figure 4.3
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4400 Figure 4.3 Segmentation Mapping is done to segment the lesion region and to find the feature extracted from the segmented region. Thus, the intermediate result is shown in the figure4.4 Figure 4.4 Intermediate result of Feature extraction 4.4 FEATURE EXTRACTION Feature extraction is considered as the importantstep, it helps in the classification process .In this paper 3Dreconstruction of image is done from the 2Ddermoscopic image by estimating the depth. On the basis of 3D reconstruction ,3D shape feature,2D shape feature ,color and texture are extracted, in figure 4.6 final 3D reconstruction of image is shown from 2Ddermoscopic image. 4.5 CLASSIFICATION Final step is the classification process, the accuracy of classification mainly depends on how accurately segmentation and feature extraction is done the classification process is carried out using Two classifiers used here Ada boost and multi SVM to compare the performance of classifier. This will identify the type of skin lesions. Figure 4.5 Blur scale graph representation Figure 4.6 Final 3D reconstruction of image from 2D dermoscopy image. Two classifiers used here Ada boost and multi SVM to compare the performance of classifier. Figure 4.7 Final classification 4.5 PERFORMANCE METRICS Thus, the accuracy and the encryption and decryption process is carried out as shown in the figure 4.8 and in figure 4.9 performance graph of two classifiers is shown.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4401 Figure 4.8 Accuracy. Figure 4.9 short screen of performance graph. From the performance graph of two classifiers ada boost and Multi-Svm ,it is clear that the accuracy rate Multi Svm is more(98.69%) than the Ado boost classifier (92%).Final result is encrypted for security purpose, RSA algorithm is used, and 32 bit key is used here. Figure 4.10 Encrypted data. Figure 4.11 Decrypted data. 5. CONCLUSION Thus, by the proposed method there is a reduction in the time consumption. It will be useful for the practice of the dermatologist. IN future, classification process may change with better algorithm which would analysis more number of diseases. REFERENCES [1]WHO inter sun (2015) http://www.who.int/uv/faq/skincancer/en/index1.ht ml (accessed 21 July 2015.). [2] L. Baldwin and J. Dunn, “Global Controversies and Advances in Skin Cancer,” Asian Pacific Journal of Cancer Prevention, vol. 14, no. 4, pp. 2155-2157, 2013. [3] American Cancer Society, Cancer Facts & Figures 2015: American Cancer Society 2015 [4] N. Howlader, A. Noone, M. Krapcho, J. Garshell, N. Neyman,S. Altekruse, C. Kosary, M. Yu, J. Ruhl, Z. Tatalovich, H. Cho,A. Mariotto, D. Lewis, H. Chen, E. Feuer, and K. Cronin. (2012,Apr.). “SEER cancer statistics review, 1975-2010,” National Cancer Institute,Bethesda, MD, USA [5] U.S. Emerging Melanoma Therapeutics Market, a090-52, Tech. Rep.,2001 [6] H. Pehamberger, A. Steiner, and K. Wolff, “In vivo epiluminescence microscopy of pigmented skin lesions—I: Pattern analysis of pigmentedskinlesions,” J. Amer. Acad. Dermatol., vol. 17, pp. 571– 583, 1987. [7] J. Mayer, “Systematic review of the diagnostic accuracy of dermatoscopy in detecting malignant melanoma,” Med. J. Aust., vol. 167, no. 4, pp. 206–210, Aug. 1997. [8] W. Stolz, A. Riemann, and A. Cognetta,“ABCDruleof dermatoscopy: A new practical method for early recognition of malignant melanoma,” Eur. J. Dermatol., vol. 4, pp. 521–527, 1994. [9] A. Blum, G. Rassner, and C. Garbe, “Modified abc- point list of dermoscopy:A simplified and highly accurate dermoscopic algorithm for the diagnosis of cutaneous melanocytic lesions,” J. Am Acad. Dermatol.,vol. 48, no. 5, pp. 672–678, May 2003. [10] S. Menzies, C. Ingvar, K. Crotty, and W. McCarthy, “Frequencyandmorphologiccharacteristicsofinvasive melanomas lacking specific surface microscopic features,” Arch. Dermatol., vol. 132, no. 10, pp. 1178– 1182, Oct. 1996. [11] G. Argenziano, G. Fabbrocini, P. Carli, V. De Giorgi, E. Sammarco, and M. Delfino, “Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesion.
Download now