Title :
B-Scan Image That Processed by CNN and Wavelets
Author :
Li, Guo-dong ; Min, Le-quan ; Zang, Hong-Yan ; Wang, Jiang-He ; Hong, Hui-Wen ; Liu, Yan-Ling
Author_Institution :
North China Electr. Power Univ., Beijing
Abstract :
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.
Keywords :
biomedical ultrasonics; cellular neural nets; diseases; edge detection; liver; medical image processing; wavelet transforms; B-scan image; CNN; biomedical images; cellular neural network; chronic hepatitis; edge detection; image processing; livers; ultrasound B-Scan images; wavelet transform; Biomedical imaging; Cellular neural networks; Cybernetics; Image edge detection; Liver diseases; Machine learning; Object detection; Signal resolution; Ultrasonic imaging; Wavelet transforms; B-Scan image; CNN; Wavelet transform;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370386
