Fast Severity Ordered Boundary Residual Learning for Multi-Class Knee Osteoarthritis Grading from X-Ray Images
Objectives: To develop a model for the classification of knee OsteoArthritis (OA) on radiographs, which is computationally efficient and severity ordered. Method: This study focuses on class imbalance, adjacent-grade confusion and high computational cost of multi-model hybrid systems. The proposed SOBR-KneeNet (Severit...