Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/6613
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dc.contributor.authorKHELIL, Seif eddine-
dc.date.accessioned2015-12-16T09:30:51Z-
dc.date.available2015-12-16T09:30:51Z-
dc.date.issued2015-12-16-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/6613-
dc.description.abstractIn our work, we begin by translating a non linear model to linear one by using the numerical analysis with Runge-Kutta4 (RK4). After that, we pass to the statistical study for linear regression then for the analysis of variance, “ANOVA technique”, by applying the statistical study on the pathological image to detect the tumors of multi MRI images. In the last, we compeer the result obtained for nonlinear model with linear one.en_US
dc.titleNonlinear Detection of Lesion with ANOVA Technique For Multi MRI imagesen_US
dc.typeMasters thesisen_US
Appears in Collections:Faculté des Sciences et de la technologie (FST)

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