Application of Active Contour Models in Medical Image Segmentation

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dc.contributor.authorKhelif, Men_US
dc.contributor.authorDerraz, Fen_US
dc.contributor.authorBeladgham, Men_US
dc.date.accessioned2012-05-24T09:06:35Zen_US
dc.date.available2012-05-24T09:06:35Zen_US
dc.date.issued2003-09-28en_US
dc.descriptionConférence Internationale sur les Systèmes de Télécommunication , d’Electronique Médicale et d’Automatique, CISTEMA’2003en_US
dc.description.abstractRecent developments on medical imaging techniques have brought a completely new research field on image processing. The principal aim is to improve medical diagnosis through segmented images. Techniques have been developed to help for identifying specific structures within a magnetic resonance image: MRI. The Active Contour methods, these methods are adaptable to the desired features in the image . In our work, we describe two classes of active contour models and discussing application aspects in medical imaging area.en_US
dc.identifier.urihttps://dspace.univ-tlemcen.dz/handle/112/850en_US
dc.language.isoEnen_US
dc.subjectMRIen_US
dc.subjectSegmentationen_US
dc.subjectactive contouren_US
dc.subjectparametric modelen_US
dc.subjectgeometric modelen_US
dc.titleApplication of Active Contour Models in Medical Image Segmentationen_US
dc.typeArticleen_US

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