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A machine learning approach to radiogenomics of...
Journal article

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

Authors

Saha A; Harowicz MR; Grimm LJ; Kim CE; Ghate SV; Walsh R; Mazurowski MA

Journal

British journal of cancer, Vol. 119, , pp. 508–516

Publisher

Nature Publishing Group

Publication Date

2018

Associated Experts

Ashirbani Saha

Assistant Professor, Faculty of Health Sciences
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Labels

Fields of Research (FoR)

32 Biomedical and Clinical Sciences3211 Oncology and carcinogenesis

Medical Subject Headings (MeSH)

AdultAgedAged, 80 and overArea Under CurveBiomarkers, TumorBreast NeoplasmsFemaleGenomicsHumansMachine LearningMagnetic Resonance ImagingMiddle AgedReceptor, ErbB-2Receptors, EstrogenReceptors, ProgesteroneYoung Adult