Open AccessAnalyses of tumor cells by mathematical models
Author(s) -
Mária Ždímalová,
L Maruscakova,
M Bucova,
Ondrej Sova,
Martin Kopáni
Publication year - 2019
Publication title -
bratislavské lekárske listy/bratislava medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.387
H-Index - 32
eISSN - 1336-0345
pISSN - 0006-9248
DOI - 10.4149/bll_2019_108
Subject(s) - segmentation , graph , computer science , schema (genetic algorithms) , artificial intelligence , image segmentation , focus (optics) , biological data , image processing , pattern recognition (psychology) , theoretical computer science , machine learning , image (mathematics) , bioinformatics , biology , physics , optics
In this contribution we present graph theoretical approach to image processing focus on biological data. We use the graph cut algorithms and extend them for obtaining segmentation of biological data. We deal with tumor brain cells and rats brain to show the existence and presence of inflammatory molecules. We introduce a completely new method for filtering of data (Tab. 3, Schema 4, Fig. 7, Ref. 13). Keywords: graph cuts, segmentation, tumore analyses of cells, computer morphometry.