Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, error-prone, and time-consuming. The purpose of this study is to develop and design an automated carotid plaque characterization and classification system into binary classes, namely symptomatic and a...
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Veröffentlicht in: | The International Journal of Cardiovascular Imaging 2021-05, Vol.37 (5), p.1511-1528 |
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Format: | Artikel |
Sprache: | eng |
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