Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard-Reference-Cited by-同舟云学术

Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Published:2019-01-29 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Bulten Wouter^ORCID,Bándi Péter,Hoven Jeffrey,Loo Rob van de,Lotz Johannes^ORCID,Weiss Nick,Laak Jeroen van der^ORCID,Ginneken Bram van,Hulsbergen-van de Kaa Christina,Litjens Geert^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-37257-4.pdf

Reference23 articles.

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4. Epstein, J. I. et al. The 2005 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma. American Journal of Surgical Pathology 29, 1228–1242, https://doi.org/10.1097/01.pas.0000173646.99337.b1 , arXiv:1011.1669v3 (2005).

5. Litjens, G. et al. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis. Nature Scientific Reports 6, 26286, https://doi.org/10.1038/srep26286 (2016).

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