Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images. The manual identification of presence and extent...

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Bibliographic Details
Published in:	Scientific reports Vol. 7; no. 1; p. 46450
Main Authors:	Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 18.04.2017 Nature Publishing Group
Subjects:	13/56 631/114/1305 631/67/1347 639/166/985 639/705/117 692/700/1421 Adult Aged Algorithms Breast cancer Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Carcinoma, Ductal, Breast - diagnostic imaging Carcinoma, Ductal, Breast - pathology Deep Learning Digitization Female Genomes Humanities and Social Sciences Humans Image Interpretation, Computer-Assisted - methods Image processing Invasiveness Mammography Middle Aged multidisciplinary Neoplasm Invasiveness Neural networks Pathology Scanners Science Tumor Burden Tumors Young Adult
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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