Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging
Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging
About this item
Full title
Author / Creator
Ieki, Hirotaka , Ito, Kaoru , Saji, Mike , Kawakami, Rei , Nagatomo, Yuji , Koyama, Satoshi , Matsunaga, Hiroshi , Miyazawa, Kazuo , Ozaki, Kouichi , Onouchi, Yoshihiro , Katsushika, Susumu , Matsuoka, Ryo , Shinohara, Hiroki , Yamaguchi, Toshihiro , Kodera, Satoshi , Higashikuni, Yasutomi , Fujiu, Katsuhito , Akazawa, Hiroshi , Isobe, Mitsuaki , Yoshikawa, Tsutomu and Komuro, Issei
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Journal title
Language
English
Formats
Publication information
Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
Subjects
More information
Scope and Contents
Contents
Chest X-ray (CXR) is one of the most commonly performed medical imaging tests. Although aging, sex and disease status have been known to cause changes in CXR findings, the extent of these effects has not been fully characterized. Here, we present a deep neural network (DNN) model trained using more than 100,000 CXRs to estimate the patient's age an...
Alternative Titles
Full title
Deep learning-based chest X-ray age serves as a novel biomarker for cardiovascular aging
Authors, Artists and Contributors
Author / Creator
Ito, Kaoru
Saji, Mike
Kawakami, Rei
Nagatomo, Yuji
Koyama, Satoshi
Matsunaga, Hiroshi
Miyazawa, Kazuo
Ozaki, Kouichi
Onouchi, Yoshihiro
Katsushika, Susumu
Matsuoka, Ryo
Shinohara, Hiroki
Yamaguchi, Toshihiro
Kodera, Satoshi
Higashikuni, Yasutomi
Fujiu, Katsuhito
Akazawa, Hiroshi
Isobe, Mitsuaki
Yoshikawa, Tsutomu
Komuro, Issei
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2505038960
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2505038960
Other Identifiers
E-ISSN
2692-8205
DOI
10.1101/2021.03.24.436773
How to access this item
https://www.proquest.com/docview/2505038960?pq-origsite=primo&accountid=13902
