Inproceedings: an article in a conference proceedings.
Multimodal evaluation for medical image segmentation
Title of the conference
12th International Conference on Computer Analysis of Images and Patterns
Vienna, Austria, August 27-29, 2007
Lecture Notes in Computer Science
Publication type : Proceedings Paper
This paper is a joint effort between five institutionsthat introduces several novel similarity measures andcombines them to carry out a multimodal segmentationevaluation. The new similarity measures proposed arebased on the location and the intensity values of themisclassified voxels as well as on the connectivity andthe boundaries of the segmented data. We showexperimentally that the combination of these measuresimprove the quality of the evaluation. The study that weshow here has been carried out using four differentsegmentation methods from four different labs applied toa MRI simulated dataset of the brain. We claim that ournew measures improve the robustness of the evaluation andprovides better understanding about the differencebetween segmentation methods.
Multimodal evaluation, segmentation, similarity measures, brain tissue segmentation,
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