DocumentCode :
3242985
Title :
Study on the Quantitative Cytometry and Cervical Cancer Diagnosis Technology Based on Support Vector Machine
Author :
Xu, Duanquan ; Pang, Baochuan
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
22-24 Oct. 2008
Firstpage :
1
Lastpage :
6
Abstract :
The cervical cancer screening technology based on quantitative cytometry is studied. Feulgen stain is conducted on the sample of cervical tissues. Then the microscopic image of the sample is captured by CCD camera. The images of cell nucleuses are extracted by image segmentation. And the morphological, optical density and texture parameters of the cell nucleuses are calculated. The dimension of the feature parameter vectors is reduced using F-score and Random Forest algorithms. And the types of the cell nucleuses are identified by a SVM classifier. The diagnosis whether the carcinogenesis exists or not is given according to the distribution of DNA content of the epitheliums.
Keywords :
biological tissues; cancer; cellular biophysics; feature extraction; image segmentation; medical image processing; support vector machines; CCD camera; F-score algorithm; Feulgen stain; Random Forest algorithm; cell nucleus image extraction; cervical cancer diagnosis; cervical cancer screening; cervical tissues; feature parameter vectors; image segmentation; microscopic image; quantitative cytometry; support vector machine; Cervical cancer; Charge coupled devices; Charge-coupled image sensors; DNA; Entropy; Image segmentation; Microscopy; Radio frequency; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2316-3
Type :
conf
DOI :
10.1109/CCPR.2008.80
Filename :
4663033
Link To Document :
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