Dissimilarity-based Classification of MRIs for Early Diagnosis of Dementia
author: Marco Loog,
Pattern Recognition Laboratory, Delft University of Technology (TU Delft)
published: Sept. 13, 2010, recorded: August 2010, views: 3054
published: Sept. 13, 2010, recorded: August 2010, views: 3054
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
We present the possibility of detecting dementia in an early stage using dissimilarity-based classification. The approach is based on the nonrigid registration of MR brain scans, which lends itself very well for a dissimilarity-based treatment. As discussed, there is no need to go trough the difficult process of building an atlas or the like, as the registration can be easily performed in a pairwise fashion and a dissimilarity measure can be computed directly in this way. The experiments show that a classification accuracy of 88% can attained for prediction of dementia within 5 years [with a specificity of 82% and a sensitivity of 93%], demonstrating the potential of the method to aid in early diagnosis of dementia.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Write your own review or comment: