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Therefore, we use multiple segmentation methods.
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Good examples of multiple features-based video segmentation methods are the one proposed in [1, 2].
We evaluated different types of methods belonging to the different classes described in 'Typology of copy number segmentation methods' section: multiple change-point, recursive, fused and HMM-based methods.
This is the first demonstration that multiple MR imaging modalities combined with multivariate segmentation methods lead to significant improvements in anatomical segmentation in the mouse brain.
The accuracy and robustness of the presented approach are demonstrated by evaluating it on multiple real data sets and comparing it to alternative segmentation methods based on level sets.
As there is no segmentation method that works properly in every situation, we integrate multiple segmentation algorithms in order to increase robustness of the approach.
Most of them may be classified into four categories: methods based on Hidden Markov Models (HMM), multiple change-point methods, fused lasso-based methods and recursive segmentation methods.
Temporal segmentation methods that used in video use subtraction of two or multiple frames or subtraction from background.
We modified the automated segmentation methods of Sajja et al. originally developed for adults with multiple sclerosis [21].
Figure 5 Segmentation results by using two alternative segmentation methods.
Nine automatic PET segmentation methods were studied.
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