Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images

Abstract Background Multiplex immunohistochemistry (mIHC) permits the labeling of six or more distinct cell types within a single histologic tissue section. The classification of each cell type requires detection of the unique colored chromogens localized to cells expressing biomarkers of interest....

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Bibliographic Details
Main Authors: Danielle J. Fassler, Shahira Abousamra, Rajarsi Gupta, Chao Chen, Maozheng Zhao, David Paredes, Syeda Areeha Batool, Beatrice S. Knudsen, Luisa Escobar-Hoyos, Kenneth R. Shroyer, Dimitris Samaras, Tahsin Kurc, Joel Saltz
Format: Article
Language:English
Published: BMC 2020-07-01
Series:Diagnostic Pathology
Subjects:
Multiplex immunohistochemistry
Digital pathology image analysis
Deep learning
Tumor immune microenvironment
Online Access:http://link.springer.com/article/10.1186/s13000-020-01003-0

Internet

http://link.springer.com/article/10.1186/s13000-020-01003-0

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