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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Computational Intelligence Techniques in Image Segmentation for Cytopathology
verfasst von : Andrzej Obuchowicz, Maciej Hrebień, Tomasz Nieczkowski, Andrzej Marciniak
Erschienen in: Computational Intelligence in Biomedicine and Bioinformatics
Verlag: Springer Berlin Heidelberg
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A variety of computational intelligence approaches to nuclei segmentation in the microscope images of fine needle biopsy material is presented in this chapter. The segmentation is one of the most important steps of the automatic medical diagnosis based on the analysis of the microscopic images, and is crucial to making a correct diagnostic decision. Due to complex nature of biological images, standard segmentation methods are not effective enough. In this chapter we present and discuss some modified versions of watershed algorithm, active contours, cellular automata, GrowCut technique, as well as new approaches like fuzzy sets of I and II type, and the sonar-like method.