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

• Main Authors: Danielle J. Fassler (Author), Shahira Abousamra (Author), Rajarsi Gupta (Author), Chao Chen (Author), Maozheng Zhao (Author), David Paredes (Author), Syeda Areeha Batool (Author), Beatrice S. Knudsen (Author), Luisa Escobar-Hoyos (Author), Kenneth R. Shroyer (Author), Dimitris Samaras (Author), Tahsin Kurc (Author), Joel Saltz (Author)
• Format: Book
• Published: BMC, 2020-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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....