medical image segmentation

MCTE: MARRYING CONVOLUTION AND TRANSFORMER EFFICIENTLY FOR END-TO-END MEDICAL IMAGE SEGMENTATION

FULLY AUTOMATIC CERVICAL VERTEBRAE SEGMENTATION VIA ENHANCED U2-NET

CTI-UNET: HYBRID LOCAL FEATURES AND GLOBAL REPRESENTATIONS EFFICIENTLY

CONTRASTIVE TRANSLATION LEARNING FOR MEDICAL IMAGE SEGMENTATION

MIXED TRANSFORMER U-NET FOR MEDICAL IMAGE SEGMENTATION

HEURISTIC DROPOUT: AN EFFICIENT REGULARIZATION METHOD FOR MEDICAL IMAGE SEGMENTATION MODELS

Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation