An automated technique for carotid far wall classification using grayscale features and wall thickness variability

Acharya UR 1 , Sree SV , Molinari F , Saba L , Nicolaides A , Suri JS

Affiliations 

  • 1 Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
J Clin Ultrasound, 2015 Jun;43(5):302-11.
PMID: 24909942 DOI: 10.1002/jcu.22183

Abstract

To test a computer-aided diagnostic method for differentiating symptomatic from asymptomatic carotid B-mode ultrasonographic images.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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