Article

Automated interpretation of the coronary angioscopy with deep convolutional neural networks

2019-07-08

Abstract excerpt

<h4>Background</h4> Coronary angioscopy (CAS) is a useful modality to assess atherosclerotic changes, but interpretation of the images requires expert knowledge. Deep convolutional neural networks (DCNN) can be used for diagnostic prediction and image synthesis. <h4>Methods</h4> 107 images from 47 patients, who underwent coronary angioscopy in our hospital between 2014 and 2017, and 864 images, selected from 142 M...

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Literature Corpus work: 8cd41bda-c991-5a21-b7fc-b64a9ebbefbd
DOI: 10.1101/19001693

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