Automated interpretation of the coronary angioscopy with deep convolutional neural networks
Background 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.Methods 107 images from 47 patients, who underw...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2020-06-01
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| Series: | Open Heart |
| Online Access: | https://openheart.bmj.com/content/7/1/e001177.full |