Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases

•Download as DOCX, PDF•

0 likes•170 views

I3E Technologies, #23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001. IEEE PROJECTS AVAILABLE, NON-IEEE PROJECTS AVAILABLE, APPLICATION BASED PROJECTS AVAILABLE, MINI-PROJECTS AVAILABLE.

Engineering

CONTENT BASED IMAGE RETRIEVAL BY METRIC LEARNING FROM
RADIOLOGY REPORTS: APPLICATION TO INTERSTITIAL LUNG DISEASES
ABSTRACT
Content Based Image Retrieval (CBIR) is a searchtechnology that could aid medical
diagnosis by retrieving andpresenting earlier reported cases that are related to the one
beingdiagnosed. To retrieve relevant cases, CBIR systems depend onsupervised learning to map
low level image contents to high leveldiagnostic concepts. However, the annotation by medical
doctorsfor training and evaluation purposes is a difficult and timeconsumingtask, which restricts
the supervised learning phaseto specific CBIR problems of well defined clinical
applications.This paper proposes a new technique that automatically learnsthe similarity between
the several exams from textual distancesextracted from radiology reports, thereby successfully
reducing the number of annotations needed. Our method firstly infersthe relation between
patients by using information retrievaltechniques to determine the textual distances between
patientradiology reports. These distances are subsequently used tosupervise a metric learning
algorithm, that transforms the image space accordingly to textual distances. CBIRsystemswith
different image descriptions and different levels of medicalannotations were evaluated, with and
without supervision fromtextual distances, using a database of computer tomographyscans of
patients with interstitial lung diseases. The proposedmethod consistently improves CBIR mean
average precision, withimprovements that can reach 38%, and more marked gains forsmall
annotation sets. Given the overall availability of radiology reports in Picture Archiving and
Communication Systems, theproposed approach can be broadly applied to CBIR systems
indifferent medical problems, and may facilitate the introductionof CBIR in clinical practice.

What's hot

Lung cancer, if successfully detected at early stages, enables many treatment options, reduced risk of invasive surgery and increased survival rate. This paper presents a novel approach to detect lung cancer from raw chest X-ray images. At the first stage, we use a pipeline of image processing routines to remove noise and segment the lung from other anatomical structures in the chest X-ray and extract regions that exhibit shape characteristics of lung nodules. Subsequently, first and second order statistical texture features are considered as the inputs to train a neural network to verify whether a region extracted in the first stage is a nodule or not . The proposed approach detected nodules in the diseased area of the lung with an accuracy of 96% using the pixel-based technique while the feature-based technique produced an accuracy of 88%.

Statistical Feature-based Neural Network Approach for the Detection of Lung C...

CSCJournals

E-book Thesis Sara Carvalho

Sara Carvalho

This project is mainly based on image processing technique. In this work MATLAB have been used through every procedure made. Image processing techniques are widely use in bio-medical sector. The objective of our work is noise removal operation, thresholding, gray scale imaging, histogram equalization, texture segmentation, and morphological operation. Detection of lung cancer from computed tomography (CT) images is done by using MATLAB software. By using these methods the work has been done on CT images and the final tumor area has been shown with pixel values. Bindiya Patel | Dr. Pankaj Kumar Mishra | Prof. Amit Kolhe"Lung Cancer Detection on CT Images by using Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd11674.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/11674/lung-cancer-detection-on-ct-images-by-using-image-processing/bindiya-patel

Lung Cancer Detection on CT Images by using Image Processing

ijtsrd

M sc research_project_report_x18134599

MansiChowkkar

IRJET - Classification of Cancer Images using Deep Learning

IRJET Journal

Master's Thesis

YashIyengar

Pneumonia Detection using CNN

YashIyengar

Modern three dimensional 3 D medical imaging offers the potential and promise for major advances in science and medicine as higher fidelity images are produced. Due to advances in computer aided diagnosis and continuous progress in the field of computerized medical image visualization, there is need to develop one of the most important fields within scientific imaging. From the early basis report on cancer patients it has been seen that a greater number of people die of lung cancer than from other cancers such as colon, breast and prostate cancers combined. Lung cancer are related to smoking or secondhand smoke , or less often to exposure to radon or other environmental factors that’s why this can be prevented. But still it is not yet clear if these cancers can be prevented or not. In this research work, approach of segmentation, feature extraction and Convolution Neural Network CNN will be applied for locating, characterizing cancer portion. Harpreet Singh | Er. Ravneet Kaur | "Lung Cancer Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd33659.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-architecture/33659/lung-cancer-detection-using-machine-learning/harpreet-singh

Lung Cancer Detection using Machine Learning

ijtsrd

Neural Network Based Brain Tumor Detection using MR Images

Aisha Kalsoom

Convolutional capsule network for covid 19 detection

Shamik Tiwari

A New Algorithm for Fully Automatic Brain Tumor Segmentation with 3-D Convolu...

Christopher Mehdi Elamri

Content based image retrieval (CBIR) has become an important factor in medical imaging research and is obtaining a great success. More applications still need to be developed to get more powerful systems for better image similarity matching, and as a result getting better image retrieval systems. This research focuses on implementing low-level descriptors to maximize the quality of the retrieval of medical images. Such a research is supposed to set a better result in terms of image similarity matching. In this research a system that uses low-level descriptors is introduced. Three descriptors have been developed and applied in an attempt to increase the accuracy of image matching. The final results showed a qualified system in medical images retrieval specially that the low-level image descriptors have not been used yet in the image similarity matching in the medical field.

A new approach for content-based image retrieval for medical applications usi...

IJECEIAES

Breast cancer has become a common factor now-a-days. Despite the fact, not all general hospitals have the facilities to diagnose breast cancer through mammograms. Waiting for diagnosing a breast cancer for a long time may increase the possibility of the cancer spreading. Therefore a computerized breast cancer diagnosis has been developed to reduce the time taken to diagnose the breast cancer and reduce the death rate. This paper summarizes the survey on breast cancer diagnosis using various machine learning algorithms and methods, which are used to improve the accuracy of predicting cancer. This survey can also help us to know about number of papers that are implemented to diagnose the breast cancer.

BREAST CANCER DIAGNOSIS USING MACHINE LEARNING ALGORITHMS –A SURVEY

ijdpsjournal

What's hot (13)

Statistical Feature-based Neural Network Approach for the Detection of Lung C...

E-book Thesis Sara Carvalho

Lung Cancer Detection on CT Images by using Image Processing

M sc research_project_report_x18134599

IRJET - Classification of Cancer Images using Deep Learning

Master's Thesis

Pneumonia Detection using CNN

Lung Cancer Detection using Machine Learning

Neural Network Based Brain Tumor Detection using MR Images

Convolutional capsule network for covid 19 detection

A New Algorithm for Fully Automatic Brain Tumor Segmentation with 3-D Convolu...

A new approach for content-based image retrieval for medical applications usi...

BREAST CANCER DIAGNOSIS USING MACHINE LEARNING ALGORITHMS –A SURVEY

Similar to Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases

Content based image retrieval by metric learning from radiology reports appli...

Pvrtechnologies Nellore

International Journal of Computational Engineering Research(IJCER)

ijceronline

IJCER (www.ijceronline.com) International Journal of computational Engineerin...

ijceronline

International Journal of Computational Engineering Research(IJCER)

ijceronline

IRJET- Breast Cancer Detection from Histopathology Images: A Review

IRJET Journal

IRJET- Content based Medical Image Retrieval for Diagnosing Lung Diseases usi...

IRJET Journal

Social media marketing (SMM) is a form of digital marketing that utilizes social media platforms to promote products, services, or brands. The goal of social media marketing is to connect with the target audience, build brand awareness, increase website traffic, and drive engagement and conversions. Here are some key aspects of social media marketing: Strategy Development: Identify your target audience: Understand the demographics, interests, and online behavior of your target audience. Set clear goals: Define specific, measurable, achievable, relevant, and time-bound (SMART) goals for your social media campaigns. Choose the right platforms: Select social media platforms that align with your target audience and business objectives. Content Creation: Create engaging content: Develop content that resonates with your audience, such as images, videos, infographics, and text posts. Maintain consistency: Establish a consistent posting schedule to keep your audience engaged and informed. Use a variety of content types: Experiment with different content formats to keep your social media presence diverse and interesting. Audience Engagement: Respond to comments and messages: Engage with your audience by responding to comments, messages, and mentions in a timely manner. Encourage user-generated content: Encourage your followers to create and share content related to your brand. Run contests and giveaways: Organize contests or giveaways to boost engagement and attract new followers. Paid Advertising: Utilize paid social media advertising: Platforms like Facebook, Instagram, Twitter, and LinkedIn offer advertising options to reach a larger audience. Targeted advertising: Use advanced targeting options to reach specific demographics, interests, and behaviors. Analytics and Monitoring: Use analytics tools: Monitor the performance of your social media campaigns using analytics tools provided by the platforms or third-party tools. Adjust strategies based on data: Analyze the data and adjust your strategies to optimize performance and achieve better results. Influencer Marketing: Collaborate with influencers: Partner with influencers who align with your brand to reach a wider audience and build credibility. Leverage user trust: Influencers can help establish trust with their followers, leading to increased brand credibility. Social Media Trends: Stay updated: Keep track of emerging trends in social media marketing and adapt your strategies accordingly. Experiment with new features: Platforms regularly introduce new features; experiment with these features to stay ahead of the curve. Remember that effective social media marketing requires a consistent and strategic approach. Regularly assess your performance, listen to your audience, and adjust your strategies to meet your goals.

i2164-2591-8-6-4 (1).pdf presentation cm

ahsamjutt1234

Signal & Image Processing : An International Journal is an Open Access peer-reviewed journal intended for researchers from academia and industry, who are active in the multidisciplinary field of signal & image processing. The scope of the journal covers all theoretical and practical aspects of the Digital Signal Processing & Image processing, from basic research to development of application. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Signal & Image processing.

Top Cited Articles in Signal & Image Processing 2021-2022

sipij

Performance Comparison Analysis for Medical Images Using Deep Learning Approa...

IRJET Journal

harsh final ppt (2).pptx

Akbarali206563

Pneumonia Detection Using Convolutional Neural Network Writers

IRJET Journal

This paper presented the research result on the design of pulmonary TB (Tuberculosis) detection systems using a statistical approach. The study aimed to address two problems in detecting pulmonary TB by doctors, especially in remote areas of Indonesia, namely the long waiting time for patients to get the doctor's diagnosis and the doctor's subjectivity. We used hundreds of X-ray images from radiology department of Sardjito Hospital, Yogyakarta, as primary data and thirty data from various sources on the internet as secondary data. Using statistical approach, we exploited statistical image feature from image histogram, examined two statistical methods of PCA and LDA transformation for feature extraction, and two minimum distance classifier in image classification. We also used histogram equalization in the image enhancement process and bicubic interpolation in image segmentation and template making. Test results on primary and secondary data images show the identification accuracy of 94% and 83.3%, respectively.

A statistical approach on pulmonary tuberculosis detection system based on X-...

TELKOMNIKA JOURNAL

International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.

S4502115119

IJERA Editor

Lung Tuberculosis (TB) remains a critical health issue globally. Accurately detecting TB from chest x-rays is vital for prompt diagnosis and treatment. Our study introduces an innovative approach using the swin transformer to assist healthcare professionals in making faster, more accurate diagnoses. This method also aims to lower diagnostic costs by streamlining the detection process. The swin transformer, a sophisticated vision transformer, leverages hierarchical feature representation and a shifted window mechanism for improved image Analysis. Our research utilizes the nihchest x-ray dataset, comprising 1,557 non-tb and 3,498tb images. We divided the dataset into training, validation, and testing sets in a 64%,16%, and 20% ratio, respectively. The images undergo preprocessing—random resized crop, horizontal flip, and Normalization—before being converted into tensors. We trained the swin transformer model over 50 epochs, with a batch size of 8, using the adam optimizer at a learning rate of 1e-5. We closely monitored the model's accuracy and loss, assessing its performance using metrics like the f1-score, precision, and recall. Our findings show the model achieving a peak accuracy of 0.88 in the 43rd epoch for the training set, and the same accuracy for the validation set after 20 epochs. During testing, we observed a precision of 0.7928 and 0.9008, recall of 0.7749 and 0.9099, and f1-scores of 0.7837 and 0.905 for the negative and positive classes, respectively. The swin transformer demonstrates promising results, suggesting its adaptability and potential in significantly enhancing diagnostic efficiency and accuracy in medical settings.

ADVANCED HIERARCHICAL IMAGING TECHNIQUES IN TB DIAGNOSIS: LEVERAGING SWIN TRA...

sipij

FYP SEM VIII TT1 Presentation.pptx

HardikPatel354822

Automated Generation Of Synoptic Reports From Narrative Pathology Reports In ...

Kaela Johnson

iknife

SyedFiza1

The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time of dramatically increased use of electronic medical records and diagnostic imaging. This review introduces the machine learning algorithms as applied to medical image analysis, focusing on convolutional neural networks, and emphasizing clinical aspects of the _eld. The advantage of machine learning in an era of medical big data is that signi_cant hierarchal relationships within the data can be discovered algorithmically without laborious hand-crafting of features. We cover key research areas and applications of medical image classi_cation, localization, detection, segmentation, and registration. We conclude by discussing research obstacles, emerging trends, and possible future directions.

deep learning applications in medical image analysis brain tumor

Venkat Projects

Computer-assisted detection (CAD) systems based on artificial intelligence (AI) utilizing convolutional neural networks (CNN) have demonstrated successful outcomes in diagnosing lung lesions in several studies. This study aims to report the clinical implication in a real clinical practice, demonstrating efficacy in commonly encountered cases and categorizing the lung nodules that they can effectively detect.

The Clinical use of Artificial Intelligence in the Analysis of Chest Radiogra...

semualkaira

The Clinical use of Artificial Intelligence in the Analysis of Chest Radiogra...

semualkaira

Recently uploaded

BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING

KOUSTAV SARKAR

Toll Tax Management System is a web based application that can provide all the information related to toll plazas and the passenger checks in and pays the amount, then he/she will be provided by a receipt. With this receipt he/she can leave the toll booth without waiting for any verification call. The information would also cover registration of staff, toll plaza collection, toll plaza collection entry for vehicles, date wise report entry, Vehicle passes and passes reports b/w dates.

Toll tax management system project report..pdf

Kamal Acharya

KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream

Dr. Radhey Shyam

The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message. When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely. When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item. Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.

Automobile Management System Project Report.pdf

Kamal Acharya

NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...

Amil baba

CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems! Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected. R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production. An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred. R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance. Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production. It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call! Work done in cooperation with James Malloy and David Moelling from Tetra Engineering. More examples of our work https://www.r-r-consult.dk/en/cases-en/

CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx

R&R Consult

Blood Donation Management System is a web database application that enables the public to make online session reservation, to view nationwide blood donation events online and at the same time provides centralized donor and blood stock database. This application is developed by using ASP.NET technology from Visual Studio with the MySQL 5.0 as the database management system. The methodology used to develop this system as a whole is Object Oriented Analysis and Design; whilst, the database for BDMS is developed by following the steps in Database Life Cycle. The targeted users for this application are the public who is eligible to donate blood ,'system moderator, administrator from National Blood Center and the staffs who are working in the blood banks of the participating hospitals. The main objective of the development of this application is to overcome the problems that exist in the current system, which are the lack of facilities for online session reservation and online advertising on the nationwide blood donation events, and also decentralized donor and blood stock database. Besides, extra features in the system such as security protection by using password, generating reports, reminders of blood stock shortage and workflow tracking can even enhance the efficiency of the management in the blood banks. The final result of this project is the development of web database application, which is the BDMS.

Online blood donation management system project.pdf

Kamal Acharya

Construction method of steel structure space frame .pptx

wendy cai

Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx

Md. Shahidul Islam Prodhan

Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering. This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom. Author: Robbie Edward Sayers Collaborators and co editors: Charlie Sims and Connor Healey. (C) 2024 Robbie E. Sayers

HYDROPOWER - Hydroelectric power generation

Robbie Edward Sayers

Digital Signal Processing Lecture notes n.pdf

AbrahamGadissa

KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization

Dr. Radhey Shyam

The project developers created a system entitled Resort Management and Reservation System; it will provide better management and monitoring of the services in every resort business, especially D’ Rock Resort. To accommodate those out-of-town guests who want to remain and utilize the resort's services, the proponents planned to automate the business procedures of the resort and implement the system. As a result, it aims to improve business profitability, lower expenses, and speed up the resort's transaction processing. The resort will now be able to serve those potential guests, especially during the high season. Using websites for faster transactions to reserve on your desired time and date is another step toward technological advancement. Customers don’t need to walk in and hold in line for several hours. There is no problem in converting a paper-based transaction online; it's just the system that will be used that will help the resort expand. Moreover, Gerard (2012) stated that “The flexible online information structure was developed as a tool for the reservation theory's two primary applications. Computer use is more efficient, accurate, and faster than a manual or present lifestyle of operation. Using a computer has a vital role in our daily life and the advantages of the devices we use.

RESORT MANAGEMENT AND RESERVATION SYSTEM PROJECT REPORT.pdf

Kamal Acharya

2024 DevOps Pro Europe - Growing at the edge

Paco Orozco

Natalia Rutkowska - BIM School Course in Kraków

bim.edu.pl

In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on. My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways. In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.

Event Management System Vb Net Project Report.pdf

Kamal Acharya

PHP and MySQL project on Hall Booking System is a web based project and it has been developed in PHP and MySQL and we can manage Payment, Booking, Inventory, Booking Dates, Customers and Hall from this project. The main objective to develop Hall Booking System PHP, MySQL, JAVA SCRIPT and BOOTSRAP Project is to overcome the manual errors and make a computerized system. In this project, there are various type of modules available to manage Customers, Booking, Payment. We can also generate reports for Booking, Payment, Booking Dates, Hall. Here the Payment module manage all the operations of Payment, Booking module can manage Booking, Inventory module is normally developed for managing Inventory, Booking Dates module manages Booking Dates operations, Customers module has been implemented to manage Customers. In this project all the modules like Payment, Booking Dates, Booking are tightly coupled and we can track the information easily. Ifyou are looking for Free Hall Booking System Project in PHP and MySQL then you can visit our free projects section. We can easily get the list of wedding halls & lawns in Nagpur. Also we have detailed contact information for some particular hall. But we cannot get the availability about hall. So background behind this web portal is that it gives the area wise listing of wedding halls & lawns with the detailed information of individual and also display for particular date the hall is available or not. Just dial is the system in which we can only find the name of Hall and Lawns in city. In just dial we cannot find Halls in specific area. This system cannot show all information about any Hall. This system is not able to book the Halls online. The A Web Based Hall Booking Management System is designed to overcome the disadvantage of previous system.We can easily get the list of Wedding Halls. But we cannot get the availability about Hall. So background behind this web portal is that it gives the area wise listing of Wedding Halls with the detailed information of individual and also display for particular date the Hall is available or not. This is a special type of web portal to easily get the information of all Wedding Halls in Nagpur which display separate calendar for separate Hall. For particular date the Hall. We can availability of Hall as well as Lawns detailed information about individuals Hall in our web portal . It provides all facilities to clients with lowest cost and lowest maintenance problems.

Hall booking system project report .pdf

Kamal Acharya

Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering

C Sai Kiran

Presented at NUS: Fuzzing and Software Security Summer School 2024 This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.

Democratizing Fuzzing at Scale by Abhishek Arya

abh.arya

This project is being considered in order to reduce and totally eliminate loss of customers to competitors, and save the company from folding up. The current system is manual and it is time consuming. It is also cost ineffective, and average return is low and diminishing. Currently, customers can call or walk-in in order to rent or reserve a vehicle. The staff of the company will check their file to see which vehicle is available for rental. The current system is error prone and customers are dissatisfied. The goal of this project is to automate vehicle rental and reservation so that customers do not need to walk-in or call in order to reserve a vehicle. They can go online and reserve any kind of vehicle they want and that is available. Even when a customer chooses to walk-in, computers are available for him to go online and perform his reservation. When he choose to reserve by phone, any of the customer service representatives can help him reserve the vehicle speedily and issue him a reservation number. The VRS will maintain the database of all vehicles the company has. It will also keep track of all vehicle reservation and return. Reports will be generated bi-weekly. Reports for the Accounts Manager will detail the cost incurred to maintain each vehicle and revenue accrued on each vehicle. Reports for the Maintenance Manager will detail the present mileage of the car in order for him to take care of the vehicle servicing, and when each vehicle will be due for tag renewal. The Branch Manager’s report will detail total cost incurred and total revenue accrued, and the status of each vehicle so that he can decide whether to sell the vehicle or still keep it.

ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf

Kamal Acharya

Recently uploaded (20)

BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING

Toll tax management system project report..pdf

KIT-601 Lecture Notes-UNIT-3.pdf Mining Data Stream

Automobile Management System Project Report.pdf

NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...

CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx

Online blood donation management system project.pdf

Construction method of steel structure space frame .pptx

Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx

HYDROPOWER - Hydroelectric power generation

Digital Signal Processing Lecture notes n.pdf

KIT-601 Lecture Notes-UNIT-5.pdf Frame Works and Visualization

RESORT MANAGEMENT AND RESERVATION SYSTEM PROJECT REPORT.pdf

2024 DevOps Pro Europe - Growing at the edge

Natalia Rutkowska - BIM School Course in Kraków

Event Management System Vb Net Project Report.pdf

Hall booking system project report .pdf

Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering

Democratizing Fuzzing at Scale by Abhishek Arya

ONLINE VEHICLE RENTAL SYSTEM PROJECT REPORT.pdf

Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases

1. CONTENT BASED IMAGE RETRIEVAL BY METRIC LEARNING FROM RADIOLOGY REPORTS: APPLICATION TO INTERSTITIAL LUNG DISEASES ABSTRACT Content Based Image Retrieval (CBIR) is a searchtechnology that could aid medical diagnosis by retrieving andpresenting earlier reported cases that are related to the one beingdiagnosed. To retrieve relevant cases, CBIR systems depend onsupervised learning to map low level image contents to high leveldiagnostic concepts. However, the annotation by medical doctorsfor training and evaluation purposes is a difficult and timeconsumingtask, which restricts the supervised learning phaseto specific CBIR problems of well defined clinical applications.This paper proposes a new technique that automatically learnsthe similarity between the several exams from textual distancesextracted from radiology reports, thereby successfully reducing the number of annotations needed. Our method firstly infersthe relation between patients by using information retrievaltechniques to determine the textual distances between patientradiology reports. These distances are subsequently used tosupervise a metric learning algorithm, that transforms the image space accordingly to textual distances. CBIRsystemswith different image descriptions and different levels of medicalannotations were evaluated, with and without supervision fromtextual distances, using a database of computer tomographyscans of patients with interstitial lung diseases. The proposedmethod consistently improves CBIR mean average precision, withimprovements that can reach 38%, and more marked gains forsmall annotation sets. Given the overall availability of radiology reports in Picture Archiving and Communication Systems, theproposed approach can be broadly applied to CBIR systems indifferent medical problems, and may facilitate the introductionof CBIR in clinical practice.

Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases

Recommended

Recommended

More Related Content

What's hot

What's hot (13)

Similar to Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases

Similar to Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases (20)

More from I3E Technologies

More from I3E Technologies (20)

Recently uploaded

Recently uploaded (20)

Content based image retrieval by metric learning from radiology reports application to interstitial lung diseases