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

OBJECTIVE: To 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. METHODS: In this paper, we selected Ki-67-expression as the representat...

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Detalles Bibliográficos
Autores principales:	Liu, Yiqing, Li, Xi, Zheng, Aiping, Zhu, Xihan, Liu, Shuting, Hu, Mengying, Luo, Qianjiang, Liao, Huina, Liu, Mubiao, He, Yonghong, Chen, Yupeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Molecular Biosciences
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438787/ https://www.ncbi.nlm.nih.gov/pubmed/32903653 http://dx.doi.org/10.3389/fmolb.2020.00183

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