The invention of the microscope disclosed a whole new world, that of the hitherto invisibly small. Histologic evidence as revealed by the microscope has become a cornerstone of medical diagnosis, and efforts are now being made to lay foundations so that the medical visual information processing burden can be alleviated significantly by cost-effective automation. This paper lays image processing foundations by presenting a graph-theoretic and syntactic model for the analysis of histologic patterns, and presents results to date.
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