PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Colantonio S., Salvetti O., Sartucci F. Automatic recognition and classification of cerebral microemboli in ultrasound images. In: International Conference on Pattern Recognition and Image Analysis: (St. Petersburg, October, 18-23, 2004). Proceedings, vol. II pp. 647 - 650. Yuri I. Zhuravlev (ed.). St. Petersburg Electrotechnical University, 2004.
 
 
Abstract
(English)
Aim of this work was the definition of a method devoted to the automated recognition of different composition of cerebral microemboli. The developed diagnostic procedure makes use of a features-based analysis of ultrasonographic images containing the characteristic microembolic signals. The images were acquired with a Transcranial Doppler, and classified using a Hierarchical Neural Network. The proposed procedure has been tested on clinical cases selected by expert neurologists for their relevance and experimental results have showed its reliability.
Subject Hierarchical Neural Networks
Microemboli Classification
Image Analysis
I.2.10 Vision and Scene Understanding


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