Enhancing MedSAM with a Lightweight Box Predictor for Medical Image Segmentation

Semantic segmentation in medical imaging is a critical yet challenging task due to data scarcity and high variability across modalities. While foundation models like the Segment Anything Model (SAM) show promise, they often struggle with medical images without specific adaptation. Moreover, point pr...