"An automated approach for annotating Gleason patterns in whole-mount ..."

Michael Brehler et al. (2022)

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DOI: 10.1117/12.2610793

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-04

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  - conf/midp/BrehlerLBDKNSIL22
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  - https://dblp.org/rec/conf/midp/BrehlerLBDKNSIL22
Michael Brehler, Allison K. Lowman, Samuel Bobholz, Savannah R. Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth A. Iczkowski, Peter S. LaViolette:
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning. Digital and Computational Pathology 2022

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