基于小波变换和人工神经网络的超声图像识别

1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005. Pub Date : 2005-12-13 DOI:10.1109/CAMAP.2005.1574212

C. Juarez-Landin, V. Ponomaryov, J. L. Sanchez-Ramirez

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引用次数: 1

摘要

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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Recognition of ultrasound images using wavelet transform and artificial neural networks

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

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来源期刊

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

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