HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues.

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Bibliographic Details
Title: HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues.
Authors: Qaiser T; Department of Computer Science, University of Warwick, Coventry, UK., Mukherjee A; Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK., Reddy Pb C; Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India., Munugoti SD; Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India., Tallam V; Department of Electronics and Electrical Engineering, Indian Institute of Technology, Guwahati, India., Pitkäaho T; Department of Computer Science, Maynooth University, Maynooth, Ireland., Lehtimäki T; Department of Computer Science, Maynooth University, Maynooth, Ireland., Naughton T; Department of Computer Science, Maynooth University, Maynooth, Ireland., Berseth M; NLP Logix LLC, Jacksonville, FL, USA., Pedraza A; VISILAB, E.T.S.I.I, University of Castilla-La Mancha, Ciudad Real, Spain., Mukundan R; Department of Computer Science and Software Engineering, University of Canterbury, Canterbury, New Zealand., Smith M; Department of Statistics, University of Warwick, Coventry, UK., Bhalerao A; Department of Computer Science, University of Warwick, Coventry, UK., Rodner E; Computer Vision Group, Friedrich Schiller University of Jena, Jena, Germany., Simon M; Computer Vision Group, Friedrich Schiller University of Jena, Jena, Germany., Denzler J; Computer Vision Group, Friedrich Schiller University of Jena, Jena, Germany., Huang CH; MSD International GmbH, Singapore, Singapore.; Singapore Agency for Science, Technology and Research, Singapore, Singapore., Bueno G; VISILAB, E.T.S.I.I, University of Castilla-La Mancha, Ciudad Real, Spain., Snead D; Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK., Ellis IO; Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK., Ilyas M; Department of Histopathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham, UK.; Nottingham Molecular Pathology Node, University of Nottingham, Nottingham, UK., Rajpoot N; Department of Computer Science, University of Warwick, Coventry, UK.; Department of Pathology, University Hospitals Coventry and Warwickshire, Coventry, UK.
Source: Histopathology [Histopathology] 2018 Jan; Vol. 72 (2), pp. 227-238. Date of Electronic Publication: 2017 Oct 27.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 7704136 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2559 (Electronic) Linking ISSN: 03090167 NLM ISO Abbreviation: Histopathology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1365-2559
DOI:10.1111/his.13333