text: label fusion69. Finally, the corrective learning classifiers contained in 
  ASHS were applied to the consensus segmentation produced by joint 
  label fusion. The output of this step is a corrected segmentation of 
  the T2w scan. Further description of the ASHS protocol can be found 
  here67. T2w scans and segmentations were first visually examined using 
  ITK-SNAP70 for quality assurance and then subjected to manual editing 
  in native space using ITK-SNAP (v.3.8.0-b; C.M.T.). One session (scan 
  15, third trimester) was discarded due to erroneous scan orientation. 
  The anterior extent of the segmented labels was anchored 4 mm (two 
  slices) anterior to the appearance of the limen insulae, and the posterior 
  extent was anchored to the disappearance of hippocampal gray matter 
  from the trigone of the lateral ventricle. Boundaries between perirhinal, 
  entorhinal and parahippocampal cortices were established in keeping 
  with the Olsen–Amaral–Palombo (OAP) segmentation protocol71. In 
  instances where automatic segmentation did not clearly correspond 
  to the underlying neuroanatomy, such as when a certain label was 
  missing several gray matter voxels, manual retouching allowed for 
  individual voxels to be added or removed. All results are reported 
  using the manually retouched subregion volumes to ensure the most 
  faithful representation of the underlying neuroanatomy. Scans were 
  randomized and segmentation was performed in a random order, 
  blind to pregnancy stage. To assess intrarater reliability for the pre- 
  sent analyses, two days underwent manual editing a second time. The 
  generalized Dice similarity coefficient72 across subregions was 0.87 
  and the intraclass correlation coefficient was 0.97, suggesting robust 
  reliability in segmentation. 