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Automated Knee Osteoarthritis Classification Using Deep Learning Techniques on Knee X-Ray Images
Subject area: Science,Engineering and Technology · Area of research: Deep Learning
DOI: https://doi.org/10.64388/IREV9I11-1717892
Abstract
Knee Osteoarthritis (KOA) is one of most common degenerative joint subjective interpretation and delayed diagnosis. In this research work, a Deep Learning-based automated Knee Osteoarthritis classification system is proposed using knee X-ray images. The proposed framework utilizes (CNNs) and transfer learning architectures for detecting and classifying osteoarthritis severity according to the Kellgren-Lawrence (KL) grading system. Various preprocessing and augmentation techniques were applied to improve image quality and model generalization. Experimental results demonstrate that the proposed system achieved high classification accuracy with improved reliability and reduced computational complexity.
Keywords
Knee Osteoarthritis, Deep Learning, Convolutional Neural Network, Transfer Learning, Medical Image Analysis, X-ray Classification.
References
[1] A. Cui et al., “Global, regional prevalence, incidence and risk factors of knee osteoarthritis in population-based studies,” EClinicalMedicine, 2020.
[2] V. K. V et al., “Evaluating the efficacy of deep learning models for knee osteoarthritis prediction based on Kellgren-Lawrence grading system,” e-Prime, 2023.
[3] S. Castagno et al., “Prediction of the Rapid Progression of Knee Osteoarthritis Using Automated Machine Learning,” SSRN, 2024.
[4] A. A. S. Afroze et al., “Machine learning based osteoarthritis detection methods in different imaging modalities: A review,” Current Medical Imaging, 2023.
How to cite this paper
@article{1717892,
author = {Ariram A., Prasath V., Karthikeyan M.},
title = {Automated Knee Osteoarthritis Classification Using Deep Learning Techniques on Knee X-Ray Images},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {11},
pages = {2256-2258},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1717892.pdf},
abstract = {Knee Osteoarthritis (KOA) is one of most common degenerative joint subjective interpretation and delayed diagnosis. In this research work, a Deep Learning-based automated Knee Osteoarthritis classification system is proposed using knee X-ray images. The proposed framework utilizes (CNNs) and transfer learning architectures for detecting and classifying osteoarthritis severity according to the Kellgren-Lawrence (KL) grading system. Various preprocessing and augmentation techniques were applied to improve image quality and model generalization. Experimental results demonstrate that the proposed system achieved high classification accuracy with improved reliability and reduced computational complexity.},
keywords = {Knee Osteoarthritis, Deep Learning, Convolutional Neural Network, Transfer Learning, Medical Image Analysis, X-ray Classification.},
month = {May},
doi = {https://doi.org/10.64388/IREV9I11-1717892}
}