Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

Ten Fast Transfer Learning Models for Carotid Ultrasound Plaque Tissue Characterization in Augmentation Framework Embedded with Heatmaps for Stroke Risk Stratification

<i>Background and Purpose:</i> Only 1–2% of the internal carotid artery asymptomatic plaques are unstable as a result of >80% stenosis. Thus, unnecessary efforts can be saved if these plaques can be characterized and classified into symptomatic and asymptomatic using non-invasive B-mo...

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Bibliographic Details
Main Authors: Skandha S. Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya K. Koppula, Luca Saba, Sushant Agarwal, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Diagnostics
Subjects:
stroke
carotid plaque characterization
symptomatic vs. asymptomatic
artificial intelligence
transfer learning
heatmaps
Online Access:https://www.mdpi.com/2075-4418/11/11/2109

Internet

https://www.mdpi.com/2075-4418/11/11/2109

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