Segmentation of cytological and histological images of breast cancer cells

Comparative analysis of the biomedical image segmentation methods is presented in this paper. The segmentation methods are offered on the basis of previous labeling and spatial moments. Experimental results show that the developed methods have higher accuracy by signal-noise ratio (up to 40%) compared to the nowadays known.