Knee Osteoarthritis Prediction Using Deep Learning

A significant fraction of the population is affected by the common degenerative joint condition known as knee osteoarthritis (OA), which can cause pain, stiffness, and functional difficulties. The ability to detect knee OA early and accurately can lead to proactive measures and individualized treatment plans. CNNs and the VGG model are two examples of Models of deep learning that recently displayed notable performance in a range of image recognition applications. The goal of this research paper is to use CNN and the VGG architecture to create a knee osteoarthritis model for prediction. The suggested method involves a sizable dataset of knee radiography images to train a CNN model, specifically the VGG model.