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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 und...

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Détails bibliographiques
Publié dans:Open Heart
Auteurs principaux: Miyoshi, Toru, Higaki, Akinori, Kawakami, Hideo, Yamaguchi, Osamu
Format: Artigo
Langue:Inglês
Publié: BMJ Publishing Group 2020
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Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7228653/
https://ncbi.nlm.nih.gov/pubmed/32404485
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/openhrt-2019-001177
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