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Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

Beck, Andrew H., Sangoi, Ankur R., Leung, Samuel, Marinelli, Robert J., Nielsen, Torsten O., van de Vijver, Marc J., West, Robert B., van de Rijn, Matt, Koller, Daphne·2011·Science Translational Medicine

DOI 10.1126/scitranslmed.3002564

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Abstract

Automated quantification of thousands of morphologic features in microscopic images of breast cancer allows the construction of a robust prognostic model.

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Authors: Beck, A. H., Sangoi, A. R., Leung, S., Marinelli, R. J., Nielsen, T. O., van de Vijver, M. J., West, R. B., van de Rijn, M., & Koller, D.
Venue: Science Translational Medicine
Publisher: American Association for the Advancement of Science (AAAS)
Published: 2011-11-09
Volume: 3
Issue: 108
Pages: 108ra113-108ra113
ISSN: 1946-6234 (ISSN-L)
1946-6242
DOI: 10.1126/scitranslmed.3002564
OpenAlex: W2110243528
Cited by: 763
References: 2
FWCI: 24.25
Type: journal article
Language: en
Open access: closed

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Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival

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