PFT-Net: prototypes filtering and transformation for few-shot medical image segmentation
In few-shot medical image segmentation (FSMIS), the mainstream methods typically adopt prototype-driven methods, which use Masked Average Pooling (MAP) to extract class centers (prototypes) from labeled support samples to guide the segmentation of the query image. However, due to the inherent diversity of organs, signi...