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

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Title: Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm.
Authors: Jain PK; School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India., Dubey A; School of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi 221005, India.; Department of Electronics and Communication, Shree Mata Vaishno Devi University, Jammu 182301, India., Saba L; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09100 Cagliari, Italy., Khanna NN; Department of Cardiology, Indraprastha APOLLO Hospital, New Delhi 110076, India., Laird JR; Heart and Vascular Institute, Adventist Heath St. Helena, St. Helena, CA 94574, USA., Nicolaides A; Vascular Screening and Diagnostic Centre and University of Nicosia Medical School, Nicosia 2409, Cyprus., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA., Suri JS; Stroke Diagnostic and Monitoring Division, AtheroPoint™, Roseville, CA 95661, USA., Sharma N; Department of Electronics and Communication, Shree Mata Vaishno Devi University, Jammu 182301, India.
Source: Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2022 Sep 27; Vol. 9 (10). Date of Electronic Publication: 2022 Sep 27.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101651414 Publication Model: Electronic Cited Medium: Internet ISSN: 2308-3425 (Electronic) Linking ISSN: 23083425 NLM ISO Abbreviation: J Cardiovasc Dev Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2308-3425
DOI:10.3390/jcdd9100326