Open AccessA deep learning-based automated diagnostic system for classifying mammographic lesions
Author(s) -
Takeshi Yamaguchi,
Kazuaki Inoue,
Hiroko Tsunoda,
Takayoshi Uematsu,
Norimitsu Shinohara,
Hirofumi Mukai
Publication year - 2020
Publication title -
medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.59
H-Index - 148
eISSN - 1536-5964
pISSN - 0025-7974
DOI - 10.1097/md.0000000000020977
Subject(s) - medicine , mammography , artificial intelligence , deep learning , reading (process) , medical physics , workload , breast cancer , digital mammography , breast imaging , cad , breast cancer screening , machine learning , cancer , computer science , engineering drawing , political science , law , engineering , operating system