Coronary angioscopy with machine learning

Published: 24 February 2020| Version 2 | DOI: 10.17632/9dx23j5d64.2
Contributors:
Akinori Higaki, Toru Miyoshi

Description

Raw data, generated images and python scripts to reproduce the results in our research paper: Automated interpretation of coronary angioscopy with deep convolutional neural networks.

Files

Institutions

  • Ehime Kenritsu Imabari Byoin
  • Lady Davis Institute for Medical Research
  • Ehime Daigaku - Shigenobu Chiku

Categories

Machine Learning, Clinical Research, Coronary Artery Disease, Angioscopy, Deep Learning

Related Links

Article
https://www.medrxiv.org/content/10.1101/19001693v3
is related to this dataset

Licence