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

Volume

3

fYear

2007

fDate

19-22 Aug. 2007

Firstpage

1521

Lastpage

1525

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2007.4370386

Filename

4370386