Prompting Segment Anything Model with Domain-Adaptive Prototype for
Generalizable Medical Image Segmentation
Prompting Segment Anything Model with Domain-Adaptive Prototype for
Generalizable Medical Image Segmentation
Deep learning based methods often suffer from performance degradation caused by domain shift. In recent years, many sophisticated network structures have been designed to tackle this problem. However, the advent of large model trained on massive data, with its exceptional segmentation capability, introduces a new perspective for solving medical segmentation …