MedicalRec: Medical recommender system for image classification without retraining

In three linesMedicalRec is a transformer-based recommender system to automatically select the best model for medical image classification without retraining. Built on MedicalRec-Bench (5000+ model records tested on skin cancer, tumors, wounds, breast cancer, MRI), the system achieves HitRate@100 of 75.5% across 4 variants (5-18 features).

Summary generated by Claude — human-verified