@inproceedings{c420364155e54dbc9fdc8bf4418a7a7e,
title = "FUZZY CONNECTEDNESS IN SEGMENTATION OF MEDICAL IMAGES A Look at the Pros and Cons",
abstract = "An attempt to recapitulate and conclude numerous experiences with the fuzzy connectedness theory applied to medical image segmentation is made in this paper. The fuzzy connectedness principles introduced in 1996 have been developed and tested in dozens of studies in past 15 years; many advantages, as well as shortcomings have been discovered and described. Some aspects of the method and its applications have been summarized here, including the examples of specific 2D and 3D medical studies with various objects, subjected to fuzzy connected segmentation. Deliberation about the usefulness of multiseeded and multiobject variants is also present. An algorithm optimized for matrix computations-based programming languages is introduced. Finally, 3 fuzzy connectedness-based computer aided diagnosis systems are described and evaluated.",
keywords = "Fuzzy connectedness, Medical image segmentation",
author = "Pawel Badura and Jacek Kawa and Joanna Czajkowska and Marcin Rudzki and Ewa Pietka",
note = "Publisher Copyright: {\textcopyright} 2011 SCITEPRESS (Science and Technology Publications, Lda.; International Conference on Evolutionary Computation Theory and Applications, ECTA 2011 ; Conference date: 24-10-2011 Through 26-10-2011",
year = "2011",
doi = "10.5220/0003670904860492",
language = "English",
isbn = "9789898425836",
series = "International Joint Conference on Computational Intelligence",
publisher = "Science and Technology Publications, Lda",
pages = "486--492",
editor = "Agostinho Rosa",
booktitle = "In Proceedings of the International Conference on Evolutionary Computation Theory and Applications, ECTA 2011",
address = "Portugal",
}