Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44077
Title: Automatic system identification of tissue abnormalities based on 2D B-mode ultrasound images
Authors: Díaz-Suárez, Víctor D.
Travieso, Carlos M. 
González-Fernández, Javier
Ferrer, Miguel A. 
Gómez Déniz, Luis 
Alonso, Jesus B. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Ultrasound tissue-mimicking phantom B-mode imaging database Higuchi Fractal dimension Feed-forward neural network
Issue Date: 2009
Publisher: 0302-9743
Journal: Lecture Notes in Computer Science 
Conference: 12th International Conference on Computer Aided Systems Theory (EUROCAST 2009) 
12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 
Abstract: 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.
URI: http://hdl.handle.net/10553/44077
ISBN: 978-3-642-04771-8
3642047718
ISSN: 0302-9743
DOI: 10.1007/978-3-642-04772-5_19
Source: Computer Aided Systems Theory - Eurocast 2009[ISSN 0302-9743],v. 5717, p. 137-+
Appears in Collections:Actas de congresos
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