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半监督的对比VAE用于解脱数字病理图像的纠

Mahmudul Hasan1, Xiaoling Hu2, Shahira Abousamra1

  • 1Stony Brook University, Stony Brook, NY, USA.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|June 25, 2025
PubMed
概括

我们介绍了一种用于病理图像的新解方法,以提高深度学习的解释性. 这种方法增强了瘤透淋巴细胞 (TIL) 检测和模型概括.

关键词:
具有对比性的 VAE.数字病理学数字病理学解脱纠 纠 解开纠

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