Open AccessAge prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features
Author(s) -
Shinnosuke Sawano,
Satoshi Kodera,
Masataka Satô,
Susumu Katsushika,
Issei Sukeda,
Hirotoshi Takeuchi,
Hiroki Shinohara,
Akito Kobayashi,
Hiroshi Takahashi,
Kazutoshi Hirose,
Tatsuya Kamon,
Akihito Saito,
Hiroyuki Kohno,
Mizuki Miura,
Shun Minatsuki,
Hiromi Kikuchi,
Yasutomi Higashikuni,
Norifumi Takeda,
Katsuhito Fujiu,
Jun Ando,
Hiroshi Akazawa,
Hiroyuki Morita,
Issei Komuro
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0276928
Subject(s) - percutaneous coronary intervention , medicine , conventional pci , mace , cardiology , hazard ratio , acute coronary syndrome , coronary arteries , coronary artery disease , proportional hazards model , artery , confidence interval , myocardial infarction