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| Titre: | Abnormal tissus extraction in MRI brain medical images |
| Auteur(s): | Cherifi, Dalila
Doghmane, Mohamed Zinelabidine
Nait-Ali, A.
Aici, Zakia
Bouzelha, Salim |
| Mots-clés: | brain segmentation
EM segmentation
magnetique resonance images
tumor extraction
Medical images
Thresholding methods
tumor extraction
Magnetic resonance imaging
Medical imaging
Signal processing
Image segmentation |
| Date de publication: | 2011 |
| Editeur: | IEEE |
| Référence bibliographique: | 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011; Tipaza; Algeria; 9 May 2011 through 11 May 2011; Category numberCFP1133P-ART; Code 85750 |
| Collection/Numéro: | 7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011 2011, Article number 5931510;pp. 357-360 |
| Résumé: | This study is a comparison between two image segmentation's methods; the first method is based on normal brain's tissue recognition then tumor extraction using thresholding method. The second method is classification based on EM segmentation which is used for both brain recognition and tumor extraction. The goal of these methods is to detect, segment, extract, classify and measure properties of the brain normal and abnormal (tumor) tissues |
| URI/URL: | http://dlibrary.univ-boumerdes.dz:8080123456789/1707 |
| ISBN: | 978-145770690-5 |
| Collection(s) : | Communications Internationales
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