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
Hauptverfasser: Saba, Luca, Sanagala, Skandha S., Gupta, Suneet K., Koppula, Vijaya K., Johri, Amer M., Sharma, Aditya M., Kolluri, Raghu, Bhatt, Deepak L., Nicolaides, Andrew, Suri, Jasjit S.
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Sprache:eng
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