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Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.

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Bibliographic Details
Title: Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.
Authors: Wang H; Case Western Reserve University , Center for Computational Imaging and Personalized Diagnostics, 2071 Martin Luther King Jr. Drive, Cleveland, Ohio 44106, United States., Cruz-Roa A; Universidad Nacional de Colombia , Aulas de Ingenieria, MINDLab, 114 Edif. 453, Bogota, Colombia., Basavanhally A; Case Western Reserve University , Center for Computational Imaging and Personalized Diagnostics, 2071 Martin Luther King Jr. Drive, Cleveland, Ohio 44106, United States., Gilmore H; Case Western Reserve University , Center for Computational Imaging and Personalized Diagnostics, 2071 Martin Luther King Jr. Drive, Cleveland, Ohio 44106, United States., Shih N; Hospital of the University of Pennsylvania , 3400 Spruce Street, Philadelphia, Pennsylvania 19104, United States., Feldman M; Hospital of the University of Pennsylvania , 3400 Spruce Street, Philadelphia, Pennsylvania 19104, United States., Tomaszewski J; University at Buffalo , School of Medicine and Biomedical Sciences, Buffalo, New York 14214, United States., Gonzalez F; Universidad Nacional de Colombia , Aulas de Ingenieria, MINDLab, 114 Edif. 453, Bogota, Colombia., Madabhushi A; Case Western Reserve University , Center for Computational Imaging and Personalized Diagnostics, 2071 Martin Luther King Jr. Drive, Cleveland, Ohio 44106, United States.
Source: Journal of medical imaging (Bellingham, Wash.) [J Med Imaging (Bellingham)] 2014 Oct; Vol. 1 (3), pp. 034003. Date of Electronic Publication: 2014 Oct 10.
Publication Type: Journal Article
Journal Info: Publisher: Society of Photo-Optical Instrumentation Engineers Country of Publication: United States NLM ID: 101643461 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2329-4302 (Print) Linking ISSN: 23294302 NLM ISO Abbreviation: J Med Imaging (Bellingham) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2329-4302
DOI:10.1117/1.JMI.1.3.034003