Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.

Saved in:
Bibliographic Details
Title: Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look.
Authors: Kumari V; School of Computer Science and Engineering, Galgotias University, Greater Noida 201310, India., Kumar N; Department of Applied Computational Science and Engineering, G L Bajaj Institute of Technology and Management, Greater Noida 201310, India., Kumar K S; School of Computer Science and Engineering, Galgotias University, Greater Noida 201310, India., Kumar A; School of CSET, Bennett University, Greater Noida 201310, India., Skandha SS; Department of CSE, CMR College of Engineering and Technology, Hyderabad 501401, India., Saxena S; Department of Computer Science and Engineering, IIT Bhubaneswar, Bhubaneswar 751003, India., Khanna NN; Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi 110076, India., Laird JR; Heart and Vascular Institute, Adventist Health St. Helena, St Helena, CA 94574, USA., Singh N; Department of Food Science and Technology, Graphic Era, Deemed to be University, Dehradun 248002, India., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA., Saba L; Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), 09100 Cagliari, Italy., Singh R; Department of Research and Innovation, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun 248007, India., Suri JS; Stroke Diagnostics and Monitoring Division, AtheroPoint™, Roseville, CA 95661, USA.; Department of Computer Science & Engineering, Graphic Era, Deemed to be University, Dehradun 248002, India.; Monitoring and Diagnosis Division, AtheroPoint™, Roseville, CA 95661, USA.
Source: Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2023 Dec 04; Vol. 10 (12). Date of Electronic Publication: 2023 Dec 04.
Publication Type: Journal Article; Review
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
Full text is not displayed to guests.
Description
ISSN:2308-3425
DOI:10.3390/jcdd10120485