Segmentation Validation Engine
The Segmentation Validation Engine (SVE) provides an automated online framework for performing validation studies of skull-stripping methods. Registered users may download 40 T1 MRI volumes, skull-strip them with the algorithm of their choice, and upload their segmentation results to the SVE website. The server will then compare the 40 skull-stripped results against a set of manually generated brain masks. The server computes a series of measures for the uploaded data, including Jaccard and Dice measures. It also produces images for visualizing the spatial location of the segmentation errors relative to a common space. The results are archived on the server, and the measures are viewable by visitors to the site. Details on the methodology can be found in the following paper:
Shattuck DW, Prasad G, Mirza M, Narr KL, and Toga AW (in press) Online Resource for Validation of Brain Segmentation Algorithms NeuroImage, e-pub available online Nov. 25, 2008 (doi:10.1016/j.neuroimage.2008.10.066).
Shattuck DW, Prasad G, Mirza M, Narr KL, and Toga AW (in press) Online Resource for Validation of Brain Segmentation Algorithms NeuroImage, e-pub available online Nov. 25, 2008 (doi:10.1016/j.neuroimage.2008.10.066).
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