AKFNET: An Anatomical Knowledge Embedded Few-Shot Network For Medical Image Segmentation

Automated organ segmentation in CTs is an essential prerequisite for many clinical applications, such as computer-aided diagnosis and intervention. As medical data annotation requires massive human labor from experienced radiologists, how to effectively improve the segmentation performance with limited annotated training data remains a challenging problem. Few-shot learning imitates the learning p...