From year to year the number of investigations on intelligent systems grow rapidly and it reflects the worldwide tendencies for the leading role of the research on intelligent systems theoretically and practically. Object description in medical image often has the property of fuzziness, and with the development of computing, fuzzy logic theory are progressively used in medical image processing. In this chapter, computational intelligence and their applications in medical informatics are the essential topics being covered. From recent publications, it seems that as the area of intuitionistic fuzzy image processing is just beginning to develop, there are hardly few methods in the literature. Intuitionistic fuzzy set theory has been used to extract information by reflecting and modeling the hesitancy present in real-life situations.
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Chaira, T., Chaira, T. (2008). Intuitionistic Fuzzy Set: Application to Medical Image Segmentation. In: Kelemen, A., Abraham, A., Liang, Y. (eds) Computational Intelligence in Medical Informatics. Studies in Computational Intelligence, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75767-2_3
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