S Muni Ratnam , D Ragulamma , P Tejaswani , G Swathi , K Vijayalakshmi 1 4 (October-December) Knee Osteoarthritis KOA commonly referred to as degenerative joint disease of the knee is usually caused by articular cartilage gradually losing its structure due to wear and stress Worldwide patients with osteoarthritis OA especially those with knee OA have significant disability as a result of this most frequent form of arthritis Osteoarthritis OA is a prevalent degenerative musculoskeletal condition This illness impacts about 5 of the global population Arthritis OA most commonly affects the knee where articular cartilage at the ends of bones permanently deteriorates Over time the condition known as knee osteoarthritis OA worsens and affects the whole knee joint Despite their timeconsuming nature and sensitivity to user variable manual diagnosis segmentation and annotation of knee joints are still employed in clinical practice to diagnose osteoarthritis The proposed system effectively detects knee osteoarthritis in the MRI images in which median filter is used in the image preprocessing to reduce the noise Fuzzy C Means algorithm is used image segmentation Fuzzy CMeans algorithm is used for segmentation and Convolutional Neural Network CNN is used for disease identification Contrast Homogeneity Energy Entropy and Correlation features were extracted from the Region of Interest ROI of the segmented image for training and testing the CNN classifier MATLAB R2021a software were used to implement the proposed system or method The performance parameters sensitivity specificity accuracy and precision of the proposed system are obtained as 9419 9260 9577 and 934 respectively Copyright (c) World Journal of Pharmaceutical Seiences. All rights reserved 2026