Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

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http://hdl.handle.net/10138/175212

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Turkki , R , Linder , N , Kovanen , P E , Pellinen , T & Lundin , J 2016 , ' Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples ' , Journal of pathology informatics , vol. 7 , 38 . https://doi.org/10.4103/2153-3539.189703

Title: Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples
Author: Turkki, Riku; Linder, Nina; Kovanen, Panu E.; Pellinen, Teijo; Lundin, Johan
Contributor organization: Institute for Molecular Medicine Finland
Johan Edvard Lundin / Principal Investigator
Medicum
Department of Pathology
Clinicum
Precision Systems Medicine
Date: 2016-09-01
Language: eng
Number of pages: 9
Belongs to series: Journal of pathology informatics
ISSN: 2229-5089
DOI: https://doi.org/10.4103/2153-3539.189703
URI: http://hdl.handle.net/10138/175212
Subject: 3111 Biomedicine
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: publishedVersion


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