评估染色正常化技术在侵袭性管道癌的自动分级中的有效性 组织病理学图像

Wingates Voon1, Yan Chai Hum2, Yee Kai Tee1

  • 1Department of Mechatronics and Biomedical Engineering, Faculty of Engineering and Science, Lee Kong Chian, Universiti Tunku Abdul Rahman, Kampar, Malaysia.

Scientific reports
|November 22, 2023
PubMed
概括

斑点规范化 (SN) 对使用卷积神经网络 (CNN) 的侵袭性导管癌 (IDC) 分级准确度没有显著影响. 该研究发现,对于乳腺癌分类的正常化和非正常化数据集之间的差异很小.