Polyp-SAM: Transfer SAM for Polyp Segmentation

Understand

Colon polyps are considered important precursors for colorectal cancer.

• Automatic segmentation of colon polyps can significantly reduce the misdiagnosis of colon cancer and improve physician annotation efficiency.
• While many methods have been proposed for polyp segmentation, training large-scale segmentation networks with limited colonoscopy data remains a challenge.
• Recently, the Segment Anything Model (SAM) has recently gained much attention in both natural and medical image segmentation.