Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors.

Domenico De Santis Giuseppe TremamunnoCarlotta RucciTiziano PolidoriMarta ZerunianGiulia PiccinniLuca PuglieseBenedetta MasciNicolò UbaldiAndrea Laghi Damiano Caruso

Published in: Diagnostics (Basel, Switzerland) (2022)

automated cardiac software packages are a reliable and time-saving tool for inexperienced reader. Software 1 outperforms software 2 and might therefore better assist inexperienced CCTA readers in automated identification of the three main vessels and coronaries segments, with a consistent time saving of the reading session.

Keyphrases

deep learning
machine learning
high throughput
coronary artery
coronary artery disease
bioinformatics analysis
left ventricular
working memory
transcranial direct current stimulation
single cell