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Maxillofacial Pathology Detection Using an Extended a Contrario Approach Combined with Fuzzy Logic
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nefzi, Nedra Khlifa, Nawrès |
| Copyright Year | 2011 |
| 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, we detect significant changes in regions previously delineated by a physician anatomist. We apply a decision algorithm 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 proposed approach. |
| Starting Page | 81 |
| Ending Page | 87 |
| Page Count | 7 |
| File Format | PDF HTM / HTML |
| DOI | 10.5121/sipij.2011.2308 |
| Volume Number | 2 |
| Alternate Webpage(s) | http://aircconline.com/sipij/V2N3/2311sipij08.pdf |
| Alternate Webpage(s) | https://doi.org/10.5121/sipij.2011.2308 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |