Deep learning in gonarthrosis classification: a comparative study of model architectures and single vs. multi-model methods

The single-model approach was more effective for KL grading, surpassing metrics in existing literature. These findings emphasize the importance of task-specific architectures and preprocessing. Future studies should explore ensemble modeling, advanced augmentations, and clinical validation to enhance applicability.