Recognition of ultrasound images using wavelet transform and artificial neural networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

It is presented the development of two methods for recognition of ultrasound images (US) using artificial neural networks (ANN). In the first method, a neural network of the backpropagation type was used, and the second one it has been implemented a stage of extraction of characteristics applying the Wavelet transform before ANN using. The experimental results have shown the advantages and drawbacks of each a method.

Original languageEnglish
Title of host publicationIEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Pages173-176
Number of pages4
DOIs
StatePublished - 2005
EventIEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Puerto Vallarta, Mexico
Duration: 13 Dec 200515 Dec 2005

Publication series

NameIEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Volume2005

Conference

ConferenceIEEE CAMSAP 2005 - First International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Country/TerritoryMexico
CityPuerto Vallarta
Period13/12/0515/12/05

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