In: IFIP International Federation for Information Processing : Artificial Intelligence Applications and Innovations, Volume 204, 2006, pages 467-475. 2006. URL: http://dx.doi.org/10.1007/0-387-34224-954.
Abstract: This paper presents a synergistic methodology for automatically recording, monitoring and interrelating changes occurred in invivo bio-cells without any user's assistance. The methodology presented here combines several techniques, such as projection functions, registration, segmentation with region synthesis, local-global graphs and stochastic Petri-nets. Each of these techniques produces complementary results and the synergistic combination of them generates a methodology that produces the bio-signatures of bio-cells in sequences of images. Illustrative results are also provided.
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