3D medical image segmentation is fundamental to com-puter-aided diagnosis and clinical intervention planning, yet the high computational cost of volumetric data makes it challenging to balance ...
This repo is used for recording, tracking and benchmarking several recent transformer-based visual segmentation methods, as a supplement for our survey. If you find any work missing or have any ...
Abstract: Semi-supervised learning (SSL) has been proven beneficial for mitigating the issue of limited labeled data, especially on volumetric medical image segmentation. Unlike previous SSL methods ...
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