Recognition of ultrasound images using wavelet transform and artificial neural networks

C. Juarez-Landin, V. Ponomaryov, J. L. Sanchez-Ramirez
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引用次数: 1

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
基于小波变换和人工神经网络的超声图像识别
介绍了两种基于人工神经网络的超声图像识别方法的发展。第一种方法采用反向传播型神经网络,第二种方法在采用人工神经网络之前,先进行小波变换提取特征。实验结果显示了每种方法的优缺点
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