B-Scan image that processed by CNN and wavelets

被引：0

作者：

Li, Guo-Dong ^{[1
,2
]}

Min, Le-Quan ^{[2
]}

Zang, Hong-Yan ^{[2
]}

Wang, Jiang-He ^{[3
]}

Hong, Hui-Wen ^{[3
]}

Liu, Yan-Ling ^{[3
]}

机构：

[1] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China

[2] Univ Sci & Technol Beijing, Sch Appl Sci, Beijing 100083, Peoples R China

[3] XiYuan Hosp Chinese Tradit, Med Res Inst China, Beijing 100871, Peoples R China

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年

关键词：

CNN; B-Scan image; wavelet transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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

引用

页码：1521 / +

页数：3

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