Abstract 2417: Unsupervised deep-learning to identify histopathological features among breast cancers in the Cancer Prevention Study-II Nutrition Cohort
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DOI: 10.1158/1538-7445.am2019-2417
Abstract: Background: Machine learning (ML) methods are becoming more feasible for use in clinical and epidemiologic research of breast cancer, particularly when characterizing histopathology. Compared to supervised ML methods, unsupervised approaches represent an opportunity to distinguish… read more here.
Keywords: histopathological features; identify histopathological; cancer; abstract 2417 ... See more keywords