OsteoNet integrates a ConvNeXt-Large backbone with a Gated Multi-Scale Channel Calibration Module (MSCCM) for binary knee osteoarthritis screening using a KL0–1 versus KL3–4 split, achieving 97.56% accuracy and an AUC-ROC of 0.9946. The framework is further deployed as a containerised web application with Grad-CAM visualisation, demonstrating end-to-end inference and model interpretability beyond offline evaluation.
