Automatic Segmentation of MS Lesions Using a Contextual Model for the MICCAI Grand Challenge
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1444
Automatically segmenting subcortical structures in brain images has the potential to greatly accelerate drug trials and population studies of disease. Here we propose an automatic subcortical segmentation algorithm using the auto context model. Unlike many segmentation algorithms that separately compute a shape prior and an image appearance model, we develop a framework based on machine learning to learn a unified appearance and context model. In order to test the method, specificity and sensitivity measurements were obtained on a standardized dataset provided by the competition organizers. Our overall score of 77 seems to be competitive with others who's overall score was in the range of 50 - 90.

Reviews
plus ACM based MS lesion segmentation by Martin Styner on 07-28-2008 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5
plus Review by Simon Warfield on 07-25-2008 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5
Add a new review
Quick Comments


Resources
backyellow
Download All

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Paper Quality: plus minus

Information more
backyellow
Categories: Bayesian Decision Theory, Classification, Decision trees and non-metric classification, Discriminant Functions, Feature extraction, Filtering, Image, Information Theory, Mathematics, Neighborhood filters, Probability, Segmentation
Keywords: Automated Segmentation, Machine Learning, AdaBoost
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy Diffeomorphic Demons Using ITK's Finite Difference Solver Hierarchy
by Vercauteren T., Pennec X., Perchant A., Ayache N.
3D Segmentation in the Clinic: A Grand  Challenge II: MS lesion segmentation 3D Segmentation in the Clinic: A Grand Challenge II: MS lesion segmentation
by Styner M., Lee J., Chin B., Chin M.S., Commowick O., Tran H., Markovic-Plese S., Jewells V., Warfield S.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas