Dataset for "Automated interpretation of the coronary angioscopy with deep convolutional neural networks"
Published: 17 January 2022| Version 3 | DOI: 10.17632/9dx23j5d64.3
Contributors:
, , , 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.
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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