Colorectal polyp segmentation (CPS), an essential problem in medical image analysis, has
garnered growing research attention. Recently, the deep learning-based model completely …

Recent advances in deep learning have greatly facilitated the automated segmentation of
ultrasound images, which is essential for nodule morphological analysis. Nevertheless, most …

Fully-supervised airway segmentation has accomplished significant triumphs over the years
in aiding pre-operative diagnosis and intra-operative navigation. However, full voxel-level …

Weakly-supervised segmentation (WSS) has emerged as a solution to mitigate the conflict
between annotation cost and model performance by adopting sparse annotation formats …

Weakly-supervised medical image segmentation is a challenging task that aims to reduce
the annotation cost while keep the segmentation performance. In this paper, we present a …

Automatic polyp segmentation models play a pivotal role in the clinical diagnosis of
gastrointestinal diseases. In previous studies, most methods relied on fully supervised …