A Bayesian model of shape and appearance for subcortical brain segmentation.
Automatic segmentation of subcortical structures in human brain MR images is an important but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity features are absent in many places along typical structure boundaries and so extra information is required to achieve successful segmentation. A method is proposed here that uses manually labelled image data to provide anatomical training information. It utilises the principles of the Active Shape and Appearance...Expand abstract
- Publication status:
- Publisher copy:
- Copyright date:
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record