Title :
Segmentation of cytological and histological images of breast cancer cells
Author :
Oleg Berezsky;Yuriy Batko;Grigoriy Melnyk;Sergiy Verbovyy;Lilia Haida
Author_Institution :
Ternopil National Economic University, 11, Lviska st., Ternopil, 46020 Ukraine
Abstract :
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.
Keywords :
"Image segmentation","Labeling","Classification algorithms","Image color analysis","Brightness","Algorithm design and analysis","Biomedical imaging"
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2015 IEEE 8th International Conference on
Print_ISBN :
978-1-4673-8359-2
DOI :
10.1109/IDAACS.2015.7340745
