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Ultrasound Imaging in the Analysis of Carotid Plaque Morphology for the Assessment of Stroke
Efthyvoulos Kyriacou, Marios S. Pattichis, Christodoulos I. Christodoulou, Constantinos S. Pattichis, Stavros Kakkos, Maura Griffin, Andrew Nicolaides
241 - 275
Studies in Health Technology and Informatics
Volume 113: Plaque Imaging: Pixel to Molecular Level
Abstract

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%.

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