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通过多式转移学习方法预测宫癌淋巴结转移

Yeqin Zhu1, Chunlong Fu2, Junqiang Du1

  • 1Department of Gynecology and Obstetrics, Affiliated Dongyang Hospital of Wenzhou Medical University, Dongyang, Zhejiang, China.

British journal of hospital medicine (London, England : 2005)
|October 30, 2024
PubMed
概括

这项研究开发了一个深度学习模型,使用CT扫描和临床数据来预测宫癌患者的淋巴结转移. 该模型实现了高精度,有助于非侵入性患者分层.

关键词:
这是宫恶性瘤.深度学习是一种深度学习.淋巴结转移是淋巴结的转移.无线电学 (radiomics) 是一种无线电学.转移学习转移学习

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