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

@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}
  }