References
- [1] BASAVAPRASAD, B.—HEGADI RAVIDRA, S.: A survey on traditional and graph theoretical techniques for image segmentation, Internat. J. Comput. Appl. (0975–8887), Recent Advances in Information Technology 1 (2014), 38–46.
- [2] BOYKOV, Y.—JOLLY, M. P.: Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images, In: Proceedings of International Conference on Computer Vision, Vancouer, Canada, 2001, pp. 105–112.
- [3] BONDY, J. A.—MURTY, U. S.: Graph Theory with Applications, Great Britain, The Macmillan Press L.t.d, 1976.10.1007/978-1-349-03521-2
- [4] CARPENTER, A.—JONES, T.—LAMPRECHT, M. ET ALL: Cell Profiler: image analysis software for identifying and quantifying cell phenotypes, Genome Biol. 7 (2006), 1–11.10.1186/gb-2006-7-10-r100179455917076895
- [5] COHEN, M.—SUM, G.—SNOWDEN R.—DENSDALE D.— SKILLETER, D.: Key morphological features of apoptosis may occur in the absence of internucleosomal DNA degradation, Biochem Journal 286 (1991), 331–334.10.1042/bj286033111329001530564
- [6] ECGEVERRI, C. J.—PERRIMON, N.: High-throughput RNAi screening in cultured cells: A user’s guide, Nat. Rev. Genet. 7 (2006), 373–384.10.1038/nrg183616607398
- [7] EGGERT, U. S.—MITCHINSIN, T. J.: Small molecule screening by imaging, Curr Opin Chem Biol 10, (2006), 232–237.10.1016/j.cbpa.2006.04.01016682248
- [8] FORD, J. R., L. R.— FULKERSON D. R.: Maximal flow through a network, Canadian Journal of Mathematics 8, (1956), 399–404.10.4153/CJM-1956-045-5
- [9] FORD, J. R., L. R.— FULKERSON D. R.: Flows in Networks. Princeton University Press, Princeton, New Jersey 1962.
- [10] FECKOVÁ-ŠKRABUĽÁKOVÁ, E.—GREVŠOVÁ: Costs saviing via graph colouring problem approach, Scientific papers of the university of Pardubice: Series D, 45 (2019), no. 1, 152–160.
- [11] GOLDBERG, A. V.—TARJAJN R. E.: A new approach to the maximum flow problem, J. Assoc. Comput. Machinery 35, (1988), 921–940.10.1145/48014.61051
- [12] GÓMEZ, D.—YANEZ J.—GUADA C.—TINGARUO RODRIGUEAZ J.—MONTERO J.—E. ZARRAZOLA: Fuzzy image segmentation based upon hierarchical clustering, Knowledge-Based Systems 87 (2015), 25–37.10.1016/j.knosys.2015.07.017
- [13] KERR, J. F.—WYLLIE, A. H.– CURRIE, A. R.: Apoptosis: a basic biological phenomenon with wide-ranging implications in tissue kinetics, Br J. Cancer. 4 (1972), no.4, 239–257.
- [14] KOPÁNI, M.—FILON, B.—SEVIK, P.—KRASNAC D.—MISEK, D.—POLAK, S.— KOHAN, M.—MAJOR, J.—ŽDÍMALOVÁ, M.: : Iron decomposition in rabbit cerebellum after exposure to generated and mobile GSM electromagnetic fields, Bratislava Medical J. 10 (2017), 575–579.
- [15] LINDBLAD, J.—WAHLBY, C.—BENGSTON E.—ZALTSMAN A.: : Image analysis for automatic segmentation of cytoplasm and classification of Rac1 activation,Cytometry A 57 (2004), 22–33.10.1002/cyto.a.1010714699602
- [16] LOUCKÝ, J.—OBERHUBER, T.: Graph cuts in segmentation of a left ventricle from MRI data.In: Proceedings of the Czech–Japanese Seminar in Applied Mathematics 2010, Czech Technical University in Prague, August 30 - September 4, 2010, pp. 46–54
- [17] MURPHY, R. F.—MEIJERING, E.—DANUSER, G.: Special issue on molecular and cellular bioimaging,In: IEEE Transactions on Image Processing, Vol. 14 (2005), pp. 1233–1236
- [18] PERLMAN, Z. E.—SLACK, M. D.—FENG, Y.—MITCHISON, T. J.—WU, L. F.— ALTSCHULER, S. J.: Multidimensional drug profiling by automated microscopy Science 306 (2004), no. 5699, 1194–1198.
- [19] PENG, B.—ZHANG L.—ZHANG, D.: A survey of graph theoretical approaches to image segmentation, Pattern Recognition 46 (2013), 1020–1038.10.1016/j.patcog.2012.09.015
- [20] PRICE, J. H.—GOODACRE A.—HAHN, K. ET ALL.: Advances in molecular labeling, high throughput imaging and machine intelligence portend powerful functional cellular biochemistry tools, Journal Cell Biochem. 39 (2002), 194–210.10.1002/jcb.1044812552619
- [21] XIN, J.—RENJ, Z.: Image Segmentation Based on Level Set Methods, Physics Procedia 33 (2012), 840–845.10.1016/j.phpro.2012.05.143
- [22] YUCHENG, D.—BUDMAN, H. M.—DUEVER, T. A.: Segmentation and quantitative analysis of normal and apoptotic cells from fluorescence, Microscopy Images 49 (2016), 603–608. (IFAC-PapersOnLine)
- [23]ŽDÍMALOVÁ, M.—KRIVÁ Z.—BOHUMEL, T.: Graph cuts in image processing. In: 14th Conference on Applied Mathematics, APLIMAT 2015, Institute of Mathematics and Physics, Faculty of Mechanical Engineering, STU in Bratislava, 2015.
- [24]ŽDÍMALOVÁ, M.—BOHUMEL, T.—PLACHÁ GREGOROVSKÁ, K.—WESMAN, P.— EL FALOUGY, H.: Graph cutting in image processing handling with biological data analysis. In: Information Technology, Systems Research and Computational Physics, (Kulczycki P., Kacprzyk J., Kóczy L.T., Mesiar R., Wisniewski R., eds.) Advances in Intelligent Systems and Computing, (2020), Springer-Verlag, Berlin 203–2016. DOI: 10.1007/978-3-030-18058-4_1610.1007/978-3-030-18058-4_16
- [25] ZHOU, X.—CAO X.—PERLMAN Z.—WONG, S. T.: A computerized cellular imagining system for high content analysis in Monastrol suppressor screens, Journal Biomed. Inform. 39 (2006), 115–125.10.1016/j.jbi.2005.05.00816011909
- [26] VOROBJEV, I. A.—BARTENEVA, N. S.: Multi-parametric imaging of cell heterogeneity in apoptosis analysis, Methods 112 (2017), 105–123.10.1016/j.ymeth.2016.07.00327392934
- [27] WYLLIE, A.—BEATHE, G.—HARGREAVES, A.: Chromatin changes in apoptosis, Histochem Journal 13 (1981), 681–692.10.1007/BF010027196975767