Abstract
In this paper we apply genetic algorithms to morphological filter optimization. The validation of the method is illustrated by performing experiments with synthetic images, whose optimal filter is known. Applications to microscopic images of breast tissue are reported. The medical problem consists in the discrimination between cancerous tissue and normal one.
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Ballerini, L., Franzén, L. (2004). Genetic Optimization of Morphological Filters with Applications in Breast Cancer Detection. In: Raidl, G.R., et al. Applications of Evolutionary Computing. EvoWorkshops 2004. Lecture Notes in Computer Science, vol 3005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24653-4_26
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DOI: https://doi.org/10.1007/978-3-540-24653-4_26
Publisher Name: Springer, Berlin, Heidelberg
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