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 achieved remarkable progress in the field of medical image segmentation (MIS), but it still faces two main challenges. First, the consistency learning ...
Abstract: Automated skin lesion segmentation through dermoscopic analysis is essential for early skin cancer detection; however, it remains challenging because of the limited annotated training data.
Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...
Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
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Add Yahoo as a preferred source to see more of our stories on Google. NewsNation host Chris Cuomo warned CNN analyst Scott Jennings on Wednesday that if he keeps using the term “illegal aliens,” ...
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