B-Scan Image That Processed by CNN and Wavelets

In this paper, the edge detection cellular neural network (CNN) has been applied to preprocess ultrasound B-Scan images of Chronic Hepatitis B(CHB) patients' livers. The preprocessed images are further converted via the wavelet transform. The ratio of the standard deviation of the coefficients of diagonal detail to the standard deviation of the preprocessed image seems to correlate with the degrees of the damage of patient's livers. It is expected that the method provided in this paper will be helpful for the diagnosis of biomedical images.