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Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications

27 August 2021 (00:00 - 00:00)
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Congress Presentation Part of: Highlights from the Young: artificial intelligence in imaging Coronary Computed Tomography Angiography (Coronary CTA, CCTA) ESC Premium Access ESC Congress 2021 - The Digital Experience

About the speaker

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Doctor Henry West

University of Oxford, Oxford (United Kingdom of Great Britain & Northern Ireland)

2 More presentations in this session

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Deep learning-based plaque quantification from coronary computed tomography angiography: external validation and comparison with intravascular ultrasound
Doctor A. Lin (Clayton, AU)
Abstract Slides Video
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Low endothelial shear stress, microcalcification activity and high-risk plaque features: Merging computational flow modelling, OCT and 18F-NaF PET/CT
Associate Professor B. Doyle (Perth, AU)
Abstract Slides Video

Access the full session

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Highlights from the Young: artificial intelligence in imaging

The Event

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ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources