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09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
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08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
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08/10/2023
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge
Quantitative organ assessment is an essential step in automated abdomina...
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04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
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10/14/2022
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans
Tumor lesion segmentation is one of the most important tasks in medical ...
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09/06/2022