[en] This study’s aim was to measure the advantages of using psychological test data in the automatic classification of functional brain images in order to assist the diagnosis of neurodegenerative disorders such as Alzheimer’s disease (AD). Several computer-aided diagnosis systems for AD based on PET images were developed. Some of them used psychological scores beside the image data in the classification step and others did not. The results show the ones that take into account the psychological scores achieve higher accuracy rates.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Segovia-Román, Fermín ; Université de Liège - ULiège > Centre de recherches du cyclotron
Bastin, Christine ; Université de Liège - ULiège > Centre de recherches du cyclotron
Salmon, Eric ; Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn.
Phillips, Christophe ; Université de Liège - ULiège > Centre de recherches du cyclotron
Language :
English
Title :
Classification of MCI and AD patients combining PET data and psychological scores
Publication date :
2013
Event name :
International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications
Event organizer :
Katholieke Universiteit Leuven
Event place :
Leuven, Belgium
Event date :
8-10 July, 2013
Audience :
International
Main work title :
International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications
