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At the subcortical level, volumes of a series of subcortical structures were extracted using the automated segmentation function in FreeSurfer [ 41] for the ROI analysis.
This volume was fully segmented into the constituent axons, dendrites, and glia, using the automated segmentation approach of [17], and all synapses in the volume were consequently manually labeled, Figure 1.
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TP and FP volume fractions using the automated co-segmentation method in PET/MR and PET/CT were found to be (TP 97.3%, FP 9.8%) and (TP 92.3%, FP 17.2%), respectively.
The modelled relationships were used to: 1) asses the automated segmentation performance, 2) obtain a ranking of most discriminant seabed attributes responsible for acoustic diversity, 3) select the best-fit ground-truthing information to characterize each acoustic class.
Volumes of the hippocampus and amygdala and subcortical grey matter including thalamus, caudate and putamen were calculated using the automated full brain segmentation process in Freesurfer software.
The automated segmentation method was developed using the separate training set of CT scans.
Validation is usually performed using truth models such as phantom studies, animal model studies, simulation, comparing the automated segmentation method with manually obtained segmentations.
Visual inspection of the log2 ratios was used to guide the selection of the three user-defined parameters applied to the automated segmentation procedure.
Thus, once the automated segmentation routine was completed, the contour of each object was shrunk using two shrink parameters - shrink and shrink level.
Intensity and duration are also based in the outcome of the automated segmentation.
A quantitative evaluation comparing the automated segmentation results to manually corrected segmentations from three reviewers is performed.
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