Automated Knee Osteoarthritis Classification Using Deep Learning Techniques on Knee X-Ray Images

• Author(s): Ariram A.; Prasath V.; Karthikeyan M.
• Paper ID: 1717892
• Page: 2256-2258
• Published Date: 18-05-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 9 Issue 11 May-2026

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.

Citations

IRE Journals:
Ariram A., Prasath V., Karthikeyan M. "Automated Knee Osteoarthritis Classification Using Deep Learning Techniques on Knee X-Ray Images" Iconic Research And Engineering Journals Volume 9 Issue 11 2026 Page 2256-2258 https://doi.org/10.64388/IREV9I11-1717892

IEEE:
Ariram A., Prasath V., Karthikeyan M. "Automated Knee Osteoarthritis Classification Using Deep Learning Techniques on Knee X-Ray Images" Iconic Research And Engineering Journals, 9(11) https://doi.org/10.64388/IREV9I11-1717892