3D Segmentation In The Clinic: A Grand Challenge II at MICCAI 2008 - MS Lesion Segmentation
Scully, Mark, Magnotta, Vince, Gasparovic, Charles, Pelligrimo, Peter, Feis, Delia, Bockholt, H. Jeremy
The Mind Research Network
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/1449
New: Prefer using the following doi: https://doi.org/10.54294/0ypjxr
Submitted by Mark Scully on 2008-07-14T21:32:58Z.
This document examines the application of a new parametric method on the segmentation of MS lesions in brain sMRI, as applied to the data provided for the MS Lesion Segmentation Challenge at MICCAI 2008. The method uses the vector image joint histogram, built over a training set, as an explicit model of the feature vectors indicating lesion. The histogram is used to predict lesions in the test data by labeling feature vectors consistent with lesion feature vectors in the training set. The results are evaluated using STAPLE to compare against two separate human raters.
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