Medical SAM Adapter applies efficient adapter techniques to adapt the Segment Anything Model for medical imaging segmentation. It enables fine-tuning SAM on medical datasets like retinal imaging (REFUGE) without full model retraining. The project includes a lightweight adapter approach similar to LoRA and an efficient variant using EfficientSAM for faster inference.