A technique based on wavelet and morphology transform to recognize the cancer cell in pleural effusion

被引：10

作者：

Chen, FH ^{[1
]}

Xie, J ^{[1
]}

Zhang, H ^{[1
]}

Xia, DS ^{[1
]}

机构：

[1] Nanjing Univ Sci & Tech, Dept Comp, Comp Vis Lab, Nanjing, Peoples R China

来源：

INTERNATIONAL WORKSHOP ON MEDICAL IMAGING AND AUGMENTED REALITY, PROCEEDINGS | 2001年

关键词：

cancer cell; pleural effusion; wavelet analysis; morphology; BP neural network;

D O I：

10.1109/MIAR.2001.930286

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper analyzes the cause of cells fallen off into pleural effusion, and its effect on diagnosis of lung cancer. According to features of cancer cell in morphology and structure, the responding presentations in wavelet analysis and morphology are discussed. Some gray-scale features and gray-scale gradient features based on wavelet analysis, and some morphology features about edge intensity are presented. Based on these features, a BP neural network is constructed To recognize cancer cells fallen off into pleural effusion. Experimental results show that this method has a high recognition ratio.

引用

页码：199 / 203

页数：5