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一个基于梯度指导的高分辨率数字病理图像染色风格转移模型

Yutao Tang1, Yuanpin Zhou1, Siyu Zhang2

  • 1School of Computer Science and Engineering, Sun-Yat sen University, Guangzhou 510006, China.

Bioengineering (Basel, Switzerland)
|February 26, 2025
PubMed
概括

本研究介绍了数字病理学图像的样式传输算法,以解决不同中心的染色变化. 该方法通过将图像数据正常化,提高了多中心癌症诊断的诊断准确性.

关键词:
深度学习是一种深度学习.梯度指导指导是指导梯度的指导.病理图像 病理图像 病理图像染色风格转移风格的染色方式

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