Title :
A technique based on wavelet and morphology transform to recognize the cancer cell in pleural effusion
Author :
Chen, Fuhua ; Xie, Jun ; Zhang, Hong ; Xia, Deshen
Author_Institution :
Dept. of Comput., Nanjing Univ. of Sci. & Tech., China
Abstract :
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 cells 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 backpropagation neural network is constructed to recognize cancer cells fallen off into pleural effusion. Experimental results show that this method has a high recognition ratio
Keywords :
backpropagation; cancer; lung; medical image processing; neural nets; wavelet transforms; backpropagation neural network; cancer cell recognition; edge intensity; experimental results; gray-scale features; gray-scale gradient features; lung cancer diagnosis; medical image processing; morphology transform; pleural effusion; wavelet analysis; Biomedical imaging; Cancer; Cause effect analysis; Computer vision; Continuous wavelet transforms; Discrete wavelet transforms; Image analysis; Morphology; Neural networks; Wavelet analysis;
Conference_Titel :
Medical Imaging and Augmented Reality, 2001. Proceedings. International Workshop on
Conference_Location :
Shatin, Hong Kong
Print_ISBN :
0-7695-1113-9
DOI :
10.1109/MIAR.2001.930286
