Summary
In the current study, a fuzzy-connectedness-based approach to fine segmentation of demyelination lesions in Multiple Sclerosis is introduced as an enhancement to the existing ‘fast’ segmentation method. First a fuzzy connectedness relation is introduced, next a short overview of the ‘fast’ segmentation method is presented. Finally, a novel, automated segmentation approach is described. The combined method is applied to segmentation of clinical Magnetic Resonance FLAIR Images.
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Kawa, J., Pietka, E. (2008). Automated Fuzzy-Connectedness-Based Segmentation in Extraction of Multiple Sclerosis Lesions. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_15
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DOI: https://doi.org/10.1007/978-3-540-68168-7_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68167-0
Online ISBN: 978-3-540-68168-7
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