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CSAM:一个2.5D交叉切片注意力模块用于无热带体积医疗图像分割

Alex Ling Yu Hung1, Haoxin Zheng1, Kai Zhao1

  • 1University of California, Los Angeles.

IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision
|August 28, 2024
PubMed
概括

这项研究引入了一种交叉切片注意模块 (CSAM),以改善医疗图像对异型数据的细分,如MRI扫描. CSAM有效地以最小的参数捕获体积信息,提高了细分的准确性.

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Confocal Fluorescence Microscopy

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