Welcome to the challenge on Computer-Aided Diagnosis of Dementia based on structural MRI data.

In this challenge, we aim to take a step forward to the clinical use of computer-aided diagnosis methods for dementia by performing a large-scale objective validation. To compare the performance of image-based diagnosis methods, all researchers are invited to participate with their algorithms.

How does it work?

We provide a test set of multicenter clinical-representative T1-weighted MRI data of patients with Alzheimer's disease (AD), mild cognitive impairment (MCI) and healthy controls. The diagnosis methods can be trained and tuned on any suitable data (i.e. from the ADNI database). Additionally, we provide a small set of training data with diagnostic labels. If you would like to participate in this challenge, you can register a team on this web site. To be able to download the data from this web site, you are requested to email a description of your algorithm and to sign the data usage agreement. Subsequently you can run your classification algorithm on the data and submit the obtained diagnostic labels. Each submission is evaluated against the reference standard (clinical diagnosis) and the results are published on this web site.

Join the challenge!

The challenge remains open for new submissions. You are invited to download data & submit results.

More information is available in the about section and in the following article: E.E. Bron et al., Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge, Neuroimage, 2015.

The organizers,
Esther E. Bron, Stefan Klein, Marion Smits, John C. van Swieten, Wiro J. Niessen
Erasmus MC, the Netherlands.


30 October 2020: New publication added.

15 June 2017: We are organizing TADPOLE challenge

24 January 2015: The article on this challenge was accepted for publication in NeuroImage!

18 September 2014: The workshop was a success, congratulations to all participants. Results are online now.

1 March 2014: Data is available for download

• • • • • • • • • • Event sponsors