Colantonio S., Salvetti O., Sartucci F.
Hierarchical Neural Networks Microemboli Classification Image Analysis
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.
Source: 7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, pp. 647–650, St. Petersburg, 18-23 October 2004
@inproceedings{oai:it.cnr:prodotti:91056, title = {Automatic recognition and classification of cerebral microemboli in ultrasound images}, author = {Colantonio S. and Salvetti O. and Sartucci F.}, booktitle = {7th International Conference on Pattern Recognition and Image Analysis: New Information Technologies, pp. 647–650, St. Petersburg, 18-23 October 2004}, year = {2004} }