Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images

Predict Ki-67 Positive Cells in H&E-Stained Images Using Deep Learning Independently From IHC-Stained Images

ObjectiveTo obtain molecular information in slides directly from H&E staining slides, which apparently display morphological information, to show that some differences in molecular level have already encoded in morphology.MethodsIn this paper, we selected Ki-67-expression as the representati...

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Bibliographic Details
Main Authors: Yiqing Liu, Xi Li, Aiping Zheng, Xihan Zhu, Shuting Liu, Mengying Hu, Qianjiang Luo, Huina Liao, Mubiao Liu, Yonghong He, Yupeng Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Molecular Biosciences
Subjects:
digital pathology
immunohistochemistry
Ki-67
deep learning
fully convolutional network
neuroendocrine tumor
Online Access:https://www.frontiersin.org/article/10.3389/fmolb.2020.00183/full

Internet

https://www.frontiersin.org/article/10.3389/fmolb.2020.00183/full

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