Semi-supervised segmentation

GM-ABS: SAM-Driven Active Barely Supervised 3D Medical Image Segmentation.

GM-ABS: SAM-Driven Active Barely Supervised 3D Medical Image Segmentation

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GM-ABS: SAM-Driven Active Barely Supervised 3D Medical Image Segmentation | AI Trend Blend AITrendBlend Medical AI Computer Vision Image Segmentation About Medical AI · IEEE Transactions on Medical Imaging, Vol. 45, Jan. 2026 · CUHK / Harvard · 23 min read GM-ABS: What Happens When You Let SAM Do the Pseudo-Labeling and Your Expert Only […]

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YoloSeg: One Labeled Image Is All You Need for Medical Image Segmentation.

YoloSeg: One Labeled Image Is All You Need for Medical Image Segmentation

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YoloSeg: One Labeled Image Is All You Need for Medical Image Segmentation | AI Trend Blend AITrendBlend Machine Learning Computer Vision Image Segmentation About Medical AI · Medical Image Analysis, Vol. 112 (2026) · 20 min read One Image, Ten Datasets, Near-Perfect Scores: YoloSeg Redefines What Medical AI Needs to Learn A team at the

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SDCL Framework for Semi-Supervised Medical Image Segmentation

SDCL: Two Students Learning From Each Other’s Mistakes Fix a Blind Spot in Segmentation

Leave a Comment / Machine Learning, Image Segmentation, Medical AI /

Analysis by the aitrendblend editorial team. Medical review by . Thirteen minute read. Source paper posted to arXiv, October 2024. Semi Supervised Segmentation Mean Teacher Pancreas CT Left Atrium MRI ACDC Cardiac MRI Pseudo Labels Correction Learning Ask two radiology residents to trace the same pancreas on the same CT slice and their outlines will

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