Deep Learning of Histopathology Images at the Single Cell Level

Deep Learning of Histopathology Images at the Single Cell Level

The tumor immune microenvironment (TIME) encompasses many heterogeneous cell types that engage in extensive crosstalk among the cancer, immune, and stromal components. The spatial organization of these different cell types in TIME could be used as biomarkers for predicting drug responses, prognosis...

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Bibliographic Details
Main Authors: Kyubum Lee, John H. Lockhart, Mengyu Xie, Ritu Chaudhary, Robbert J. C. Slebos, Elsa R. Flores, Christine H. Chung, Aik Choon Tan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Artificial Intelligence
Subjects:
histopathology image analysis
deep learning
image data labeling
cell type classification
tumor immune microenvironment
tumor heterogeneity
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.754641/full

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https://www.frontiersin.org/articles/10.3389/frai.2021.754641/full

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