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Knee osteoarthritis grading using deep learning classifier

This project is a Deep Learning Model research project for academic purpose. Knee osteoarthritis (OA) is a prevalent degenerative joint disorder affecting millions worldwide, leading to pain, impaired mobility, and diminished quality of life. Accurate grading of OA severity is crucial for effective...

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Bibliographic Details
Main Author: Ng, Jevyline
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
R Medicine (General)
RB Pathology
T Technology (General)
TD Environmental technology. Sanitary engineering
Online Access:http://eprints.utar.edu.my/6975/1/fyp_CS_2024_NJ.pdf
http://eprints.utar.edu.my/6975/
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record_format eprints
spelling my-utar-eprints.69752025-02-27T07:06:24Z Knee osteoarthritis grading using deep learning classifier Ng, Jevyline R Medicine (General) RB Pathology T Technology (General) TD Environmental technology. Sanitary engineering This project is a Deep Learning Model research project for academic purpose. Knee osteoarthritis (OA) is a prevalent degenerative joint disorder affecting millions worldwide, leading to pain, impaired mobility, and diminished quality of life. Accurate grading of OA severity is crucial for effective clinical management, yet it remains a challenging task prone to subjectivity and inter-observer variability. In this study, we propose a novel approach utilizing deep learning classifiers to automate the grading process of knee OA based on the Kellgren Lawrence grading system. Through the development and evaluation of multiple deep learning models, we aim to provide a robust and reliable tool for clinicians to objectively assess OA severity from X-ray images. Our methodology involves preprocessing of X-ray images, followed by feature extraction and classification using convolutional neural networks (CNNs). The performance of each model is assessed through rigorous validation on a diverse dataset of knee X-ray images annotated with ground truth Kellgren Lawrence grades. 2024-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6975/1/fyp_CS_2024_NJ.pdf Ng, Jevyline (2024) Knee osteoarthritis grading using deep learning classifier. Final Year Project, UTAR. http://eprints.utar.edu.my/6975/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic R Medicine (General)
RB Pathology
T Technology (General)
TD Environmental technology. Sanitary engineering
spellingShingle R Medicine (General)
RB Pathology
T Technology (General)
TD Environmental technology. Sanitary engineering
Ng, Jevyline
Knee osteoarthritis grading using deep learning classifier
description This project is a Deep Learning Model research project for academic purpose. Knee osteoarthritis (OA) is a prevalent degenerative joint disorder affecting millions worldwide, leading to pain, impaired mobility, and diminished quality of life. Accurate grading of OA severity is crucial for effective clinical management, yet it remains a challenging task prone to subjectivity and inter-observer variability. In this study, we propose a novel approach utilizing deep learning classifiers to automate the grading process of knee OA based on the Kellgren Lawrence grading system. Through the development and evaluation of multiple deep learning models, we aim to provide a robust and reliable tool for clinicians to objectively assess OA severity from X-ray images. Our methodology involves preprocessing of X-ray images, followed by feature extraction and classification using convolutional neural networks (CNNs). The performance of each model is assessed through rigorous validation on a diverse dataset of knee X-ray images annotated with ground truth Kellgren Lawrence grades.
format Final Year Project / Dissertation / Thesis
author Ng, Jevyline
author_facet Ng, Jevyline
author_sort Ng, Jevyline
title Knee osteoarthritis grading using deep learning classifier
title_short Knee osteoarthritis grading using deep learning classifier
title_full Knee osteoarthritis grading using deep learning classifier
title_fullStr Knee osteoarthritis grading using deep learning classifier
title_full_unstemmed Knee osteoarthritis grading using deep learning classifier
title_sort knee osteoarthritis grading using deep learning classifier
publishDate 2024
url http://eprints.utar.edu.my/6975/1/fyp_CS_2024_NJ.pdf
http://eprints.utar.edu.my/6975/
_version_ 1825817825339506688
score 13.244413

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