B-SCAN IMAGE THAT PROCESSED BY CNN AND WAVELETS

摘要：

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 patients livers.It is expected that the method provided in this paper will be helpful for the diagnosis of biomedical images.

关键词： CNN B-Scan image Wavelet transform

作者: GUO-DONG LI LE-QUAN MIN HONG-YAN ZANG JIANG-HE WANG HUI-WEN HONG YAN-LING LIU

作者单位: School of Mathematics and Physics, North China Electric Power University Beijing 102206, PR China;Sc School of Applied Science University of Science and Technology Beijing Beijing 100083, PR China XiYuan Hospital Chinese Traditional Medical Research Institute of China, Beijing 100871, PR China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1521-1525

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）