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A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.
Romo-Bucheli, David; Janowczyk, Andrew; Gilmore, Hannah; Romero, Eduardo; Madabhushi, Anant.
Affiliation
  • Romo-Bucheli D; Engineering Faculty, Universidad Nacional de Colombia, Bogotá, DC, Colombia.
  • Janowczyk A; Biomedical Engineering Department, Case Western Reserve University, Cleveland, Ohio.
  • Gilmore H; Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
  • Romero E; Engineering Faculty, Universidad Nacional de Colombia, Bogotá, DC, Colombia.
  • Madabhushi A; Biomedical Engineering Department, Case Western Reserve University, Cleveland, Ohio.
Cytometry A ; 91(6): 566-573, 2017 06.
Article in En | MEDLINE | ID: mdl-28192639
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Image Interpretation, Computer-Assisted / Biomarkers, Tumor / Receptor, ErbB-2 / Support Vector Machine / Mitosis Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Cytometry A Year: 2017 Document type: Article Affiliation country: Colombia Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Image Interpretation, Computer-Assisted / Biomarkers, Tumor / Receptor, ErbB-2 / Support Vector Machine / Mitosis Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Cytometry A Year: 2017 Document type: Article Affiliation country: Colombia Country of publication: United States