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MAXILLOFACIAL PATHOLOGY DETECTION USING AN EXTENDED A CONTRARIO APPROACH COMBINED WITH FUZZY LOGIC

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Author(s): Nedra Nefzi | Nawrès Khlifa

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 2;
Issue: 3;
Start page: 81;
Date: 2011;
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Keywords: Change detection | “a contrario approach” | Fisher law | Fuzzy logic.

ABSTRACT
In this work, we develop a method for pathology detection of the maxillary-facial in 3D CT medical images.Our method is based on “a contrario” approach that is a statistical region based method. To do this, wedetect significant changes in regions previously delineated by a physician anatomist. We apply a decisionalgorithm based on fuzzy logic on the changes detected and we get a decision with a degree of uncertainty.Tests conducted on a basis of real images have shown the performance and robustness of the proposedapproach.
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