Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG...
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG
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United States: Elsevier Inc
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English
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United States: Elsevier Inc
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Accurate and reliable whole-brain segmentation is critical to longitudinal neuroimaging studies. We undertake a comparative analysis of two subcortical segmentation methods, Automatic Segmentation (ASEG) and Sequence Adaptive Multimodal Segmentation (SAMSEG), recently provided in the open-source neuroimaging package FreeSurfer 7.1, with regard to r...
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Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG
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TN_cdi_doaj_primary_oai_doaj_org_article_1b05cac46e1e4f39afe9d8fec81caa6e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1b05cac46e1e4f39afe9d8fec81caa6e
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ISSN
1053-8119,1095-9572
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2021.118113
