Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods.

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Bibliographic Details
Title: Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods.
Authors: Rashidi HH; Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Davis, CA, USA., Tran NK; Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Davis, CA, USA., Betts EV; Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Davis, CA, USA., Howell LP; Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Davis, CA, USA., Green R; Department of Pathology and Laboratory Medicine, University of California Davis, School of Medicine, Davis, CA, USA.
Source: Academic pathology [Acad Pathol] 2019 Sep 03; Vol. 6, pp. 2374289519873088. Date of Electronic Publication: 2019 Sep 03 (Print Publication: 2019).
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101698648 Publication Model: eCollection Cited Medium: Print ISSN: 2374-2895 (Print) Linking ISSN: 23742895 NLM ISO Abbreviation: Acad Pathol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2374-2895
DOI:10.1177/2374289519873088