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: Pattern Recognition and Image Analysis, vol. 15 (2) pp. 532 - 535. Mank-Hayka/Interperiodica, 2005.
 
 
Abstract
(English)
The 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 made use of a feature-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 was tested on clinical cases selected by expert neurologists for their relevance, and experimental results showed its reliability.
Subject Hierarchical Neural Networks
Microemboli Classification
Image Analysis
I.2.10 Vision and Scene Understanding
I.4.8 Scene Analysis


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