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A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion
Shatin, N.T., Hong Kong June 10-June 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930286International Workshop on Medical Ima ...
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Fuhua Chen, Jun Xie, Hong Zhang, Deshen Xia, "A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion," Medical Imaging and Augmented Reality, International Workshop on, pp. 0199, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001.
 
 
BibTex
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@article{ 10.1109/MIAR.2001.930286,
author = {Fuhua Chen and Jun Xie and Hong Zhang and Deshen Xia},
title = {A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion},
journal ={Medical Imaging and Augmented Reality, International Workshop on},
volume = {0},
year = {2001},
isbn = {0-7695-1113-9},
pages = {0199},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIAR.2001.930286},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Medical Imaging and Augmented Reality, International Workshop on
TI - A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion
SN - 0-7695-1113-9
SP
EP
A1 - Fuhua Chen,
A1 - Jun Xie,
A1 - Hong Zhang,
A1 - Deshen Xia,
PY - 2001
KW - cancer cell
KW - pleural effusion
KW - wavelet analysis
KW - morphology
KW - BP neural network
VL - 0
JA - Medical Imaging and Augmented Reality, International Workshop on
ER -
 
Fuhua Chen, Nanjing Univ. of Sci. & Tech.
Jun Xie, Nanjing Univ. of Sci. & Tech.
Hong Zhang, Nanjing Univ. of Sci. & Tech.
Deshen Xia, Nanjing Univ. of Sci. & Tech.
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 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.
Index Terms:
cancer cell, pleural effusion, wavelet analysis, morphology, BP neural network
Citation:
Fuhua Chen, Jun Xie, Hong Zhang, Deshen Xia, "A Technique Based on Wavelet and Morphology Transform to Recognize the Cancer Cell in Pleural Effusion," miar, pp.0199, International Workshop on Medical Imaging and Augmented Reality (MIAR '01), 2001
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