Automatic recognition and classification of cerebral microemboli in ultrasound images
Colantonio S., Salvetti O., Sartucci F.
Vision and Scene Understanding Hierarchical Neural Networks Microemboli Classification Image Analysis
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.
Source: Pattern recognition and image analysis 15-2 (2005): 532–535.
Publisher: Distributed by Allen Press,, Lawrence, KS , Stati Uniti d'America
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@article{oai:it.cnr:prodotti:68307,
title = {Automatic recognition and classification of cerebral microemboli in ultrasound images},
author = {Colantonio S. and Salvetti O. and Sartucci F.},
publisher = {Distributed by Allen Press,, Lawrence, KS , Stati Uniti d'America},
year = {2005}
}
0000-0003-2022-0804