Article info

Download PDFPDF

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
View Full Text

Citation

Miyoshi T, Higaki A, Kawakami H, et al
Automated interpretation of the coronary angioscopy with deep convolutional neural networks

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

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.