Improved detection of Alzheimer's disease by fusion of extraction and
segmentation methods 
   Lead Investigator:    Amira Echtioui
   Institution      :    Enis- route de gremda sfax tunisie
   E-Mail           :    echtiouiamira@yahoo.fr
   Proposal ID      :    951



   Proposal Description:
   The objective is to detect changes at the macro-structural and micro-structural level. This objective is based on several steps: 1 / Application of the different extraction and segmentation methods for each mode ((IRMs) and (ITD)) with the three projections (axial, sagittal and coronal). And comparison of the results obtained with another disease. 2 / Multimodal fusion between (IRMs) and (ITD): grouping the results of the three projections and exploiting the macro-structural (IRM) and micro-structural (ITD) information to extract lesions. 3 / Application of a new method: fusion of the two methods of extraction and then fusion of the two methods of segmentation. And this in order to improve the classification.