Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.

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Title: Evaluation of a Deep Neural Network for Automated Classification of Colorectal Polyps on Histopathologic Slides.
Authors: Wei JW; Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire.; Department of Computer Science, Dartmouth College, Hanover, New Hampshire., Suriawinata AA; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire., Vaickus LJ; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire., Ren B; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire., Liu X; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire., Lisovsky M; Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire., Tomita N; Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire., Abdollahi B; Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire., Kim AS; Minnesota Gastroenterology PA, Minneapolis., Snover DC; Department of Pathology, Fairview Southdale Hospital, Edina, Minnesota., Baron JA; Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill., Barry EL; Department of Epidemiology, Dartmouth College, Hanover, New Hampshire., Hassanpour S; Department of Biomedical Data Science, Dartmouth College, Hanover, New Hampshire.; Department of Computer Science, Dartmouth College, Hanover, New Hampshire.; Department of Epidemiology, Dartmouth College, Hanover, New Hampshire.
Source: JAMA network open [JAMA Netw Open] 2020 Apr 01; Vol. 3 (4), pp. e203398. Date of Electronic Publication: 2020 Apr 01.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
Journal Info: Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2574-3805
DOI:10.1001/jamanetworkopen.2020.3398