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- W2154202208 abstract "We propose to segment volumetric brain structures with a level set method including a fuzzy decision in the design of the evolution force. The role of fuzzy logic is to fuse gradient-based and region-based information into a single force term, to take advantage of their properties. The gradient-based approach increases the level set speed in high-contrasted areas, whereas the region-based approach is useful to treat nonhomogeneous tissues and areas of complex shapes, on which borders do not appear clearly. This fusion does not require any manually-tuned parameter to balance the respective influence of the gradient and region terms. We integrated this segmentation algorithm in a fully automatic succession of operations involving a registration step from known data to decrease the computation time. Experimental results on the MNI Brainweb dataset and on a database of real MRI volumes are presented and discussed." @default.
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- W2154202208 date "2005-04-12" @default.
- W2154202208 modified "2023-09-25" @default.
- W2154202208 title "Combining fuzzy logic and level set methods for 3D MRI brain segmentation" @default.
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- W2154202208 doi "https://doi.org/10.1109/isbi.2004.1398499" @default.
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