2021-03-262010-01-011867566218600794SCOPUS;2-s2.0-80052926805http://hdl.handle.net/10784/27337Computer algebra is applied to biomedical computer vision. Specifically certain biomedical images resulting from a case of rhinocerebral mucormysocis in a diabetic boy are analyzed using techniques in computational geometry and in algebraic-geometric topology. We apply convolution and deblurring via diffusion equation from the side of computational geometry and knot theory, graph theory and singular homology form the side of algebraic-geometric topology. Our strategy consists in to represent the biomedical images using algebraic structures in such way that the peculiarities of the images are represented using algebraic complexities. With our strategy we obtain an automatic procedure for the analysis and the diagnostic based on biomedical images. © 2010 Springer-Verlag Berlin Heidelberg.Springer Science + Business MediaAlgebraic complexityAlgebraic structuresAutomatic proceduresBiomedical imagesComputer algebraDeblurringDiffusion equationsKnot theoryAlgebraComputational geometryGraph theoryPartial differential equationsComputer visionarticle2021-03-26Vélez, M.Ospina, J.10.1007/978-3-642-16295-4_32