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Coronary artery disease
Original research
Automated interpretation of the coronary angioscopy with deep convolutional neural networks

Authors

  • Toru Miyoshi Department of Cardiology, Ehime Prefectural Imabari Hospital, Imabari, JapanDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan PubMed articlesGoogle scholar articles
  • Akinori Higaki Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, JapanHypertension and Vascular Research Unit, Lady Davis Institute for Medical Research, Montreal, Quebec, Canada PubMed articlesGoogle scholar articles
  • Hideo Kawakami Department of Cardiology, Ehime Prefectural Imabari Hospital, Imabari, Japan PubMed articlesGoogle scholar articles
  • Osamu Yamaguchi Department of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, Japan PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Akinori Higaki; akinori.higaki{at}mail.mcgill.ca
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Citation

Miyoshi T, Higaki A, Kawakami H, et al
Automated interpretation of the coronary angioscopy with deep convolutional neural networks
Open Heart 2020;7:e001177. doi: 10.1136/openhrt-2019-001177

Publication history

  • Received September 27, 2019
  • Revision received February 28, 2020
  • Accepted April 16, 2020
  • First published May 12, 2020.
Online issue publication 
May 12, 2020

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.