Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm

• Published in: Journal of cardiovascular development and disease Vol. 9; no. 10; p. 326
• Main Authors: Jain, Pankaj K., Dubey, Abhishek, Saba, Luca, Khanna, Narender N., Laird, John R., Nicolaides, Andrew, Fouda, Mostafa M., Suri, Jasjit S., Sharma, Neeraj
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 27.09.2022; MDPI
• Subjects: Artificial intelligence; Atherosclerosis; Automation; Carotid arteries; CCA; CVD; Deep learning; Diabetes; Experiments; ICA; Patients; plaque segmentation; Stroke; Ultrasonic imaging; Veins & arteries; Womens health; United Kingdom > UK; Hong Kong; United States > US; Japan; CCA; CVD; atherosclerosis; deep learning; ICA; Attention-UNet; plaque segmentation; stroke; UNet

Stroke and cardiovascular diseases (CVD) significantly affect the world population. The early detection of such events may prevent the burden of death and costly surgery. Conventional methods are neither automated nor clinically accurate. Artificial Intelligence-based methods of automatically detect...