Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.
Daiju UedaAkira YamamotoNaoyoshi OnodaTsutomu TakashimaSatoru NodaShinichiro KashiwagiTamami MorisakiShinya FukumotoMasatsugu ShibaMina MorimuraTaro ShimonoKen KageyamaHiroyuki TatekawaKazuki MuraiTakashi HonjoAkitoshi ShimazakiDaijiro KabataYukio MikiPublished in: PloS one (2022)
The DL-based model developed for this study was able to detect all breast cancers with a very low mFPI. Our DL-based model achieved the highest performance to date, which might lead to improved diagnosis for breast cancer.