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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Automatic System Identification of Tissue Abnormalities Based on 2D B–Mode Ultrasound Images
verfasst von : Víctor D. Díaz-Suárez, Carlos M. Travieso, Javier González-Fernández, Miguel A. Ferrer, Luis Gómez, Jesús B. Alonso
Erschienen in: Computer Aided Systems Theory - EUROCAST 2009
Verlag: Springer Berlin Heidelberg
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A neural network with characteristic parameters to recognize abnormalities in ultrasound images acquired from echographic tissue-mimicking materials is proposed. The neural network has been implemented in MATLAB and it can be used in real time to assist the clinical diagnoses in the early phases. The parameters are extracted from a database of B-mode ultrasound images. After training and testing the network, using a statistically significative set of experimental data and a non-commercial phantom, results show that the proposal can be successfully applied to efficiently deal with this problem.