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

Background and Purpose: 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-mode ultrasound. Earl...

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Bibliographic Details
Published in:	Diagnostics (Basel) Vol. 11; no. 11; p. 2109
Main Authors:	Sanagala, Skandha S., Nicolaides, Andrew, Gupta, Suneet K., Koppula, Vijaya K., Saba, Luca, Agarwal, Sushant, Johri, Amer M., Kalra, Manudeep S., Suri, Jasjit S.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 15-11-2021 MDPI
Subjects:	Artificial intelligence Asymptomatic Carotid arteries carotid plaque characterization Classification Deep learning heatmaps Laboratories Machine learning Neural networks Patients Stroke symptomatic vs. asymptomatic transfer learning Ultrasonic imaging Veins & arteries United Kingdom > UK United States > US
Online Access:	Get full text
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