关键词: 乳腺X光图像, 小波变换, 脊波变换, 神经网络

Abstract: To improve early diagnosis accuracy of breast cancer, an improved wavelet neural network algorithm combining wavelet theory with neural network theory was proposed. It extracted eigenvalues from pretreated medical images, and then classified medical images by using classifier based on improved wavelet neural network algorithm. The experimental results show that the classifier has higher accuracy and the classification is effective and feasible. Compared with neural network algorithm using back-propagating alone, it improves classification results.

Key words: mammography, wavelet transform, ridgelet transform, neural network