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, vol. 15-2 (issue 2), pp. 532-535
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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},
year = {2005}
}
0000-0003-2022-0804