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

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

PurposeTo test a computer-aided diagnostic method for differentiating symptomatic from asymptomatic carotid B-mode ultrasonographic images. MethodsOur system (called Atheromatic) automatically computed the intima-media thickness (IMT) of the carotid far wall using AtheroEdge, calculated nonlinear fe...

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Bibliographic Details
Main Authors: Acharya, U.R., Sree, S.V., Molinari, F., Saba, L., Nicolaides, A., Suri, J.S.
Format: Article
Published: Wiley Black 2015
Subjects:
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://www.ncbi.nlm.nih.gov/pubmed/24909942
http://www.ncbi.nlm.nih.gov/pubmed/24909942

Internet

http://www.ncbi.nlm.nih.gov/pubmed/24909942
http://www.ncbi.nlm.nih.gov/pubmed/24909942

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