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Use of fuzzy techniques for detection of multiple sclerosis small lesions.

F. Xavier AymerichPilar SobrevillaJaume GiliEduard Montseny — 1998

Mathware and Soft Computing

This work shows an application of algorithms in which fuzzy techniques are used. It is focused on the automation of image analysis for use with a non-invasive technique, as magnetic resonance, in multiple sclerosis patients, and specifically in detection of the smallest lesions. The typical uncertainty in the definition of these lesions lead us to consider that a fuzzy approach is a good solution to the problem. The design of the algorithm is based on the definition of a rule set, which...

Quantitative Analysis of Melanocyte Migration Based on Automated Cell Tracking under Phase Contrast Microscopy Considering the Combined Influence of Cell Division and Cell-Matrix Interactions

V. LetortS. FouliardG. LetortI. AdanjaM. KumasakaS. GallagherO. DebeirL. LarueF. Xavier — 2010

Mathematical Modelling of Natural Phenomena

The aim of this study was to describe and analyze the regulation and spatio-temporal dynamics of melanocyte migration and its coupling to cell division and interaction with the matrix. The melanocyte lineage is particularly interesting because it is involved in both embryonic development and oncogenesis/metastasis (melanoma). Biological experiments were performed on two melanocyte cell lines established from wild-type and -catenin-transgenic mice ...

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