In organelle imaging, segmentation aims to accurately delineate pixels or voxels corresponding to target organelles from background, noise, and other cellular structures in microscopy images, thereby ...
Abstract: Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image segmentation, aiming to alleviate the scarcity of high-quality annotations by combining limited labeled ...
Abstract: Semantic segmentation of ultrasonic images is a crucial and challenging task in computer vision in AI-assisted medicine. In prevailing methods, each pixel in the image is treated equally ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results