Computer Assisted Automated Detection of Knee Osteoarthritis using X-ray Images

Knee Osteoarthritis is a common disease of bones in human. Doctors check X-ray images manually for the identification of Osteoarthritis (OA) disease. Many researches till date have given some approaches to identify OA based on Kellgren-Lawrence (KL) classification but, they are manual or semi automated. Unlike KL grades we describe an automated computer assisted method to detect OA based on the Joint Space Width (JSW) of knee images. We used image processing method for clearing the image and extracting the JSW(pre-processing, segmentation, decision making etc) later compared with Ahlback Grading. We considered a dataset of 100 knee images of normal and OA. Our approach gave successful results in all images (excluding the damaged images).

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