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: 3047
Categories

Slides

Related Open Educational Resources

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.
Lecture popularity: You need to login to cast your vote.
  Bibliography

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.

See Also:

Download slides icon Download slides: ssspr2010_loog_dbc_01.pdf (586.8┬áKB)


Help icon Streaming Video Help

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:

make sure you have javascript enabled or clear this field: