Study on the Quantitative Cytometry and Cervical Cancer Diagnosis Technology Based on Support Vector Machine

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.