KL Grading-Based Knee Abnormality Classification Using Multi-Modal Deep Learning: KOMMCF – A Fusion of X-Ray Imaging and Clinical Biomarkers

Injuries in the knee or any wear and tear of the joint causes knee abnormalities. Here, we propose a light weight novel model "Knee Osteoarthritis Multi-Modal Classification Framework (KOMMCF)" aimed at early detection of knee abnormalities by leveraging the KL grading system. We have trained our model by using X-ray images ranging from [grade 0 - 4 normal to severe] and 14 clinical biomarkers and evaluated the model using both validation and test datasets. We have achieved [89% - validation and