Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
MIT researchers developed an AI tool, MultiverSeg, to simplify the annotation of medical images for clinical research.
Abstract: Pathological image segmentation is a cornerstone in medical image analysis and is crucial for tumor detection, tissue classification, and pathological diagnosis. Existing methods face ...
Abstract: Semi-supervised learning has proven highly effective in tackling the challenge of limited labeled training data in medical image segmentation. In general, current approaches, which rely on ...
A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.
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