Liver lesion segmentation in MSCT: effect of slice thickness on segmentation quality, measurement precision and interobserver variability
PulseAugur coverage of Liver lesion segmentation in MSCT: effect of slice thickness on segmentation quality, measurement precision and interobserver variability — every cluster mentioning Liver lesion segmentation in MSCT: effect of slice thickness on segmentation quality, measurement precision and interobserver variability across labs, papers, and developer communities, ranked by signal.
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AI framework links liver lesion segmentation to structured radiology reports
Researchers have developed an agentic AI framework that integrates liver lesion segmentation with structured radiology reporting. This system uses TotalSegmentator-based nnU-Net models to identify the liver, segments, a…
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ViPSAM framework enhances medical image segmentation using visual prompting
Researchers have developed ViPSAM, a novel visual prompting framework designed to improve medical image segmentation, particularly for non-contrast images. Built upon the Segment Anything Model (SAM), ViPSAM utilizes co…