Recognition of ultrasound images using wavelet transform and artificial neural networks

Author

Juarez-Landin, Cristina ; Ponomaryov, Volodymyr ; Sanchez-Ramirez, Jose Luis

Author_Institution

ESIME-Culhuacan, Nat. Polytech Inst.

fYear

2005

fDate

13-13 Dec. 2005

Firstpage

173

Lastpage

176

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

Keywords

backpropagation; biomedical ultrasonics; image recognition; medical image processing; neural nets; wavelet transforms; ANN; US; artificial neural networks; backpropagation; image recognition; ultrasound images; wavelet transform; Artificial neural networks; Character recognition; Discrete wavelet transforms; Frequency; Image analysis; Image recognition; Low pass filters; Pixel; Ultrasonic imaging; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on

Conference_Location

Puerto Vallarta

Print_ISBN

0-7803-9322-8

Type

conf

DOI

10.1109/CAMAP.2005.1574212

Filename

1574212

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2996334