10.1371/journal.pone.0198335.t002
Omer Faruk Gulban
Omer Faruk
Gulban
Marian Schneider
Marian
Schneider
Ingo Marquardt
Ingo
Marquardt
Roy A. M. Haast
Roy A. M.
Haast
Federico De Martino
Federico
De Martino
Segmentation performance scores MPRAGE data set.
Public Library of Science
2018
post-processing step aids
future efforts
voxel
matter borders
7 Tesla MRI data
approach
data analysis
Python implementation
field MRI High-resolution
matter ribbon
dura mater
ground truth
blood vessels
data slice-by-slice
error scale
properties change
scalable method
matter segmentation
histogram representations
Residual segmentation errors
test segmentation algorithms
resonance imaging
2018-06-06 17:46:16
Dataset
https://plos.figshare.com/articles/dataset/Segmentation_performance_scores_MPRAGE_data_set_/6452150
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial SPM 12 and FSL FAST GM segmentations as well as after additional polishing, using either the gradient magnitude or the compositional data method.</p>