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Updated: Jul 17, 2025

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针对恶性瘤分级系统的基于域和组织病理学适应的分类

Vicky Mudeng1, Mifta Nur Farid2, Gelan Ayana3

  • 1Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, Republic of Korea; Department of Electrical Engineering, Institut Teknologi Kalimantan, Balikpapan, Indonesia.

The American journal of pathology
|September 6, 2023
PubMed
概括

这项研究引入了一种自动化系统,用于使用卷积神经网络对乳腺癌的侵入性导管癌进行分级. 这种新的方法实现了高精度,改进了手动病理学,以便更好地做出治疗决策.

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