Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

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Smolle, J.
Histologic tumour image synthesis based on a cellular automaton.
Anal Cell Pathol. 1994; 6(2):149-156
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Führende Autor*innen der Med Uni Graz: Smolle Josef
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Abstract:: Cellular automata are suitable models for simulating tumour growth and invasion at the microscopic level. The results of the stimulation, however, is usually represented by a pattern of grid points, which is difficult to relate to real histological patterns by visual inspection. In this paper a 2-dimensional image synthesis module is presented, which provides a more realistic visualisation by texture mapping to tumour cell nuclei, cytoplasm and stromal elements, simulating a melanocytic tumour invading the reticular dermis. The enhancement by image synthesis facilitates a visual comparison of simulated images of real histological specimens.
Find related publications in this database (using NLM MeSH Indexing): Computer Simulation -; Humans -; Image Processing, Computer-Assisted - methods; Melanoma - pathology; Models, Biological - pathology; Neoplasm Invasiveness - pathology; Skin Neoplasms - pathology
Find related publications in this database (Keywords): Malignant Melanoma; Tumor Invasion; Cellular Automaton; Computer Simulation; Image Synthesis