Abstract
Cytodiagnosis is an important diagnostic to determine the presence or absence of lesions, and it is comprehensively diagnosed from such state of cell and nucleus by the pathologist. However, an experienced pathologist is required for an accurate diagnosis, and quantitative indicators are expected. In this study, we propose an eccentric quantitation approach for chromatin distribution using a concentration variance and a contour complexity variance of the nucleus divided into four parts. By using the microscope image of the cytological specimen of cervical cancer, we was examined whether our approach is possible to distinguish between five cell classification (normal, metaplastic, regenerative, CIS and SCC cells). As a result, it was confirmed that the discrimination rate is enhanced by the incorporation of our proposed method.