UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues

UnMICST: Deep learning with real augmentation for robust segmentation of highly multiplexed images of human tissues

Presenting UnMICST, strategies for robust single-cell segmentation in challenging human tissues.

Bibliographic Details
Main Authors: Clarence Yapp, Edward Novikov, Won-Dong Jang, Tuulia Vallius, Yu-An Chen, Marcelo Cicconet, Zoltan Maliga, Connor A. Jacobson, Donglai Wei, Sandro Santagata, Hanspeter Pfister, Peter K. Sorger
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-022-04076-3

Internet

https://doi.org/10.1038/s42003-022-04076-3

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