Ultrasound imaging in the analysis of carotid plaque morphology for the assessment of stroke
Ημερομηνία
2005Συγγραφέας
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Christodoulou, Christodoulos I.
![ORCID logo](https://orcid.org/sites/default/files/images/orcid_16x16.png)
Kakkos, Stavros K.
Griffin, Maura B.
Nicolaïdes, Andrew N.
Source
Studies in health technology and informaticsVolume
113Pages
241-275Google Scholar check
Keyword(s):
Metadata
Εμφάνιση πλήρους εγγραφήςΕπιτομή
The aim of this chapter is to summarise the recent advances in ultrasonic plaque characterisation and to evaluate the efficacy of computer aided diagnosis based on neural and statistical classifiers using as input texture and morphological features. Several classifiers like the K-Nearest Neighbour (KNN) the Probabilistic Neural Network (PNN) and the Support Vecton Machine (SVM) are evaluated resulting to a diagnostic accuracy up to 71.2%. © 2005 The authors. All rights reserved.