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Miss Elizabeth Phuong Vi Le

Addenbrooke's Hospital, Cambridge (United Kingdom of Great Britain & Northern Ireland)

Elizabeth Le is an MB PhD student based at the Division of Cardiovascular Medicine, Department of Medicine, University of Cambridge. Her research focuses on the application of radiomics and machine learning to cardiovascular imaging for the prediction of cerebrovascular and cardiovascular events. She is an affiliate member of the Cambridge Centre for Mathematical Imaging in Healthcare.

Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability

Event: ESC CONGRESS 2020 - The Digital Experience

Topic: Diagnostic Methods

Session: Stroke ePosters

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Radiomics applied to carotid CT angiograms can identify significant differences between culprit and non-culprit lesions in patients with stroke and transient ischaemic attack

Event: ESC CONGRESS 2020 - The Digital Experience

Topic: Diagnostic Methods

Session: Stroke ePosters

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