• Dr. Shaik Mahaboob Basha
• R.Dorasanamma
• V.Penchala prasad
• S.Jagadishwara Reddy
• T.Dinesh

Osteoarthritis is a joint disease that invades the cartilage and causes debility in elderly & overweight people.Osteoarthritis causes cartilage to rupture, which causes the bones to begin painfully kneading one another. Clinical examination and various medical imaging techniques are included in the scenario for the evaluation of osteoarthritis.Using deep learning, this project seeks to identify and predict the severity of knee injuries (doubtful, healthy, minimal, moderate, and severe). Models. The deep-learning model's prediction accuracy for identifying knee injuries in this project may range from 72.5 to 100%. This project uses a dataset of more than 8000 images divided into 5 classes that represent the severity of knee injury. In this project, we used Mobilenet's deep learning and transfer learning techniques to perform the classification of whether a person has a doubtful, minimal, moderate, or severe infection or is healthy. Since proper treatment will be possible with the help of our suggested method, proper classification is crucial.

Osteoarthritis,Knee X-Ray,Mobile net

"Detection of Knee Osteoarthritis using X-Ray Images with Deep learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.i96-i99, March-2023, Available :http://www.jetir.org/papers/JETIR2303816.pdf

"Detection of Knee Osteoarthritis using X-Ray Images with Deep learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppi96-i99, March-2023, Available at : http://www.jetir.org/papers/JETIR2303816.pdf