Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.
Daiju UedaAkira YamamotoTsutomu TakashimaNaoyoshi OnodaSatoru NodaShinichiro KashiwagiTamami MorisakiTakashi HonjoAkitoshi ShimazakiYukio MikiPublished in: JCO precision oncology (2022)
The DL-based model effectively classified the receptor expressions from the mammograms. Applying the DL-based model to predict breast cancer classification with a noninvasive approach would have additive value to patients.