01157nas a2200229 4500008004100000020002300041022001500064245006800079210006800147260003700215300001600252520040600268100001700674700001700691700001600708700001700724700001900741700002000760700002000780700001700800856011000817 2010 eng d a978-1-4244-7542-1 a1051-4651 00aLive cell segmentation in fluorescence microscopy via graph cut0 aLive cell segmentation in fluorescence microscopy via graph cut aIstanbul, TurkeybIEEEcAug 2010 a1485 - 14883 a
We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodular. Thus the exact energy minima is obtained via a max-flow/min-cut algorithm. The method has been quantitatively evaluated on synthetic images as well as on fluorescence microscopic images of live cells. © 2010 IEEE.
1 aLesko, Milan1 aKato, Zoltan1 aNagy, Antal1 aGombos, Imre1 aTörök, Zsolt1 aVígh, László1 aVígh, László1 aErcil, Aytul uhttps://www.inf.u-szeged.hu/publication/live-cell-segmentation-in-fluorescence-microscopy-via-graph-cut-0