Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases

•Download as DOCX, PDF•

0 likes•105 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. Mobile : 99436 99916, 99436 99926, 99436 99936 Mail ID: i3eprojectskarur@gmail.com Web: www.i3etechnologies.com, www.i3eprojects.com

Engineering

CONTENT BASED IMAGE RETRIEVAL BY METRIC LEARNING
FROM RADIOLOGY REPORTS: APPLICATION TO INTERSTITIAL
LUNG DISEASES
ABSTRACT
Content Based Image Retrieval (CBIR) is a search technology that could aid medical
diagnosis by retrieving and presenting earlier reported cases that are related to the one being
diagnosed. To retrieve relevant cases, CBIR systems depend on supervised learning to map low
level image contents to high level diagnostic concepts. However, the annotation by medical
doctors for training and evaluation purposes is a difficult and timeconsuming task, which
restricts the supervised learning phase to specific CBIR problems of well defined clinical
applications. This paper proposes a new technique that automatically learns the similarity
between the several exams from textual distances extracted from radiology reports, thereby
successfully reducing the number of annotations needed. Our method firstly infers the relation
between patients by using information retrieval techniques to determine the textual distances
between patient radiology reports. These distances are subsequently used to supervise a metric
learning algorithm, that transforms the image space accordingly to textual distances. CBIR
systems with different image descriptions and different levels of medical annotations were
evaluated, with and without supervision from textual distances, using a database of computer
tomography scans of patients with interstitial lung diseases. The proposed method consistently
improves CBIR mean average precision, with improvements that can reach 38%, and more
marked gains for small annotation sets. Given the overall availability of radiology reports in
Picture Archiving and Communication Systems, the proposed approach can be broadly applied
to CBIR systems in different medical problems, and may facilitate the introduction of CBIR in
clinical practice.

Similar to Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases

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

IRJET Journal

Paper id 25201494

IJRAT

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

Kaela Johnson

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

Although hospitals have accumulated a tremendous number of radiology images and reports, using them to build data-hungry deep-learning models remains challenging. This is partially because manually annotating a dataset in large scale is costly. Here, we propose using text mining to automatically generate a weakly-labeled dataset for detecting thoracic diseases in radiology images. This work represents the first attempt to unify text mining with computer vision for medical imaging analysis in the era of deep learning.

Text Mining Radiology Reports for Deep Learning Radiology Images

Yifan Peng

IRJET- Breast Cancer Detection from Histopathology Images: A Review

IRJET Journal

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

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

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

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

In this article, we focus on the complementary role of watermarking with respect to medical information security (integrity, authenticity …) and management. We review sample cases where watermarking has been deployed. We conclude that watermarking has found a niche role in healthcare systems, as an instrument for protection of medical information, for secure sharing and handling of medical images. The concern of medical experts on the preservation of documents diagnostic integrity remains paramount. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This paper discusses the available medical image watermarking methods for protecting and authenticating medical data. The paper focuses on algorithms for application of watermarking technique on Region of Non Interest (RONI) of the medical image preserving Region of Interest (ROI).

Review of Image Watermarking Technique for Medi

IJARIIT

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

iknife

SyedFiza1

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

IRJET Journal

Care expert assistant for Medicare system using Machine learning

IRJET Journal

Recently uploaded

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

Halogenation process of chemical process industries

MuhammadTufail242431

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

Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control. In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.

Water Industry Process Automation and Control Monthly - May 2024.pdf

Water Industry Process Automation & Control

In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services. Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options. In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website. This document will discuss each of the underlying technologies to create and implement an e- commerce website.

Final project report on grocery store management system..pdf

Kamal Acharya

ASME IX(9) 2007 Full Version .pdf

AhmedHussein950959

Natalia Rutkowska - BIM School Course in Kraków

bim.edu.pl

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

Amil baba

shape functions of 1D and 2 D rectangular elements.pptx

VishalDeshpande27

Architectural Portfolio Sean Lockwood

seandesed

Top 13 Famous Civil Engineering Scientist

gettygaming1

Digital Signal Processing Lecture notes n.pdf

AbrahamGadissa

power quality voltage fluctuation UNIT - I.pptx

ViniHema

Danfoss NeoCharge Technology -A Revolution in 2024.pdf

NurvisNavarroSanchez

Explosives Industry manufacturing process.pdf

884710SadaqatAli

CME397 Surface Engineering- Professional Elective

karthi keyan

Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.

Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...

Dr.Costas Sachpazis

Laundry firms currently use a manual system for the management and maintenance of critical information. The current system requires numerous paper forms, with data stores spread throughout the laundry management infrastructure. Often information is incomplete or does not follow management standards. Records are often lost in transit during computation requiring a comprehensive auditing process to ensure that no vital information is lost. Multiple copies of the same information exist in the laundry firm data and may lead to inconsistencies in data in various data stores. A significant part of the operation of any laundry firm involves the acquisition, management and timely retrieval of great volumes of information. This information typically involves; customer personal information and clothing records history, user information, price of delivery and received date, users scheduling as regards customers details and dealings in service rendered, also our products package waiting list. All of this information must be managed in an efficient and cost wise fashion so that the organization resources may be effectively utilized. We present the design and implementation of a laundry database management system (LBMS) used in a laundry establishment. Laundry firms are usually faced with difficulties in keeping detailed records of customers clothing; this little problem as seen to most laundry firms is highly discouraging as customers are filled with disappointments, arising from issues such as customer clothes mix-ups and untimely retrieval of clothes. The aim of this application is to determine the number of clothes collected, in relation to their owners, as this also helps the users fix a date for the collection of their clothes. Also customer’s information is secured, as a specific id is allocated per registration to avoid contrasting information.

Laundry management system project report.pdf

Kamal Acharya

Student information management system project report ii.pdf

Kamal Acharya

Q.1 A single plate clutch with both sides of the plate effective is required to transmit 25 kW at 1600 r.p.m. The outer diameter of the plate is limited to 300 mm and the intensity of pressure between the plates not to exceed 0.07N / m * m ^ 2 Assuming uniform wear and coefficient of friction 0.3, find the inner diameter of the plates and the axial force necessary to engage the clutch. Q.2 A multiple disc clutch has radial width of the friction material as 1/5th of the maximum radius. The coefficient of friction is 0.25. Find the total number of discs required to transmit 60 kW at 3000 r.p.m. The maximum diameter of the clutch is 250 mm and the axial force is limited to 600 N. Also find the mean unit pressure on each contact surface. Q.3 A cone clutch is to be designed to transmit 7.5 kW at 900 r.p.m. The cone has a face angle of 12°. The width of the face is half of the mean radius and the normal pressure between the contact faces is not to exceed 0.09 N/mm². Assuming uniform wear and the coefficient of friction between the contact faces as 0.2, find the main dimensions of the clutch and the axial force required to engage the clutch. Q.4 A cone clutch is mounted on a shaft which transmits power at 225 r.p.m. The small diameter of the cone is 230 mm, the cone face is 50 mm and the cone face makes an angle of 15 deg with the horizontal. Determine the axial force necessary to engage the clutch to transmit 4.5 kW if the coefficient of friction of the contact surfaces is 0.25. What is the maximum pressure on the contact surfaces assuming uniform wear? Q.5 A soft surface cone clutch transmits a torque of 200 N-m at 1250 r.p.m. The larger diameter of the clutch is 350 mm. The cone pitch angle is 7.5 deg and the face width is 65 mm. If the coefficient of friction is 0.2. find: 1. the axial force required to transmit the torque: 2. the axial force required to engage the clutch; 3. the average normal pressure on the contact surfaces when the maximum torque is being transmitted; and 4. the maximum normal pressure assuming uniform wear. Q.6 A single block brake, as shown in Fig. 1. has the drum diameter 250 mm. The angle of contact is 90° and the coefficient of friction between the drum and the lining is 0.35. If the torque transmitted by the brake is 70 N-m, find the force P required to operate the brake. Q.7 The layout and dimensions of a double shoe brake is shown in Fig. 2. The diameter of the brake drum is 300 mm and the contact angle for each shoe is 90°. If the coefficient of friction for the brake lining and the drum is 0.4, find the spring force necessary to transmit a torque of 30 N-m. Also determine the width of the brake shoes, if the bearing pressure on the lining material is not to exceed 0.28N / m * m ^ 2

RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions

Atif Razi

Recently uploaded (20)

Online blood donation management system project.pdf

Halogenation process of chemical process industries

HYDROPOWER - Hydroelectric power generation

Water Industry Process Automation and Control Monthly - May 2024.pdf

Final project report on grocery store management system..pdf

ASME IX(9) 2007 Full Version .pdf

Natalia Rutkowska - BIM School Course in Kraków

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

shape functions of 1D and 2 D rectangular elements.pptx

Architectural Portfolio Sean Lockwood

Top 13 Famous Civil Engineering Scientist

Digital Signal Processing Lecture notes n.pdf

power quality voltage fluctuation UNIT - I.pptx

Danfoss NeoCharge Technology -A Revolution in 2024.pdf

Explosives Industry manufacturing process.pdf

CME397 Surface Engineering- Professional Elective

Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...

Laundry management system project report.pdf

Student information management system project report ii.pdf

RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions

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 search technology that could aid medical diagnosis by retrieving and presenting earlier reported cases that are related to the one being diagnosed. To retrieve relevant cases, CBIR systems depend on supervised learning to map low level image contents to high level diagnostic concepts. However, the annotation by medical doctors for training and evaluation purposes is a difficult and timeconsuming task, which restricts the supervised learning phase to specific CBIR problems of well defined clinical applications. This paper proposes a new technique that automatically learns the similarity between the several exams from textual distances extracted from radiology reports, thereby successfully reducing the number of annotations needed. Our method firstly infers the relation between patients by using information retrieval techniques to determine the textual distances between patient radiology reports. These distances are subsequently used to supervise a metric learning algorithm, that transforms the image space accordingly to textual distances. CBIR systems with different image descriptions and different levels of medical annotations were evaluated, with and without supervision from textual distances, using a database of computer tomography scans of patients with interstitial lung diseases. The proposed method consistently improves CBIR mean average precision, with improvements that can reach 38%, and more marked gains for small annotation sets. Given the overall availability of radiology reports in Picture Archiving and Communication Systems, the proposed approach can be broadly applied to CBIR systems in different medical problems, and may facilitate the introduction of CBIR in clinical practice.

Content Based Image Retrieval by Metric Learning from Radiology Reports: Application to Interstitial Lung Diseases

Recommended

Recommended

More Related Content

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