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Multivariate machine learning models for...
Journal article

Multivariate machine learning models for prediction of pathologic response to neoadjuvant therapy in breast cancer using MRI features: a study using an independent validation set

Authors

Cain EH; Saha A; Harowicz MR; Marks JR; Marcom PK; Mazurowski MA

Journal

Breast cancer research and treatment, Vol. 173, , pp. 455–463

Publisher

Springer US

Publication Date

2019

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 carcinogenesis3202 Clinical sciences

Medical Subject Headings (MeSH)

AdultAgedAntineoplastic Combined Chemotherapy ProtocolsBreastFeasibility StudiesFemaleHumansImage Processing, Computer-AssistedMachine LearningMagnetic Resonance ImagingMastectomy, SegmentalMiddle AgedNeoadjuvant TherapyNeoplasm StagingROC CurveReceptor, ErbB-2Retrospective StudiesTreatment OutcomeTriple Negative Breast Neoplasms