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Improving Human Cortical Sulcal Curve Labeling in Large Scale Cross-Sectional MRI using Deep Neural Networks

BACKGROUND: Human cortical primary sulci are relatively stable landmarks and commonly observed across the population. Despite their stability, the primary sulci exhibit phenotypic variability. NEW METHOD: We propose a fully automated pipeline that integrates both sulcal curve extraction and labeling...

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書誌詳細
出版年:J Neurosci Methods
主要な著者: Parvathaneni, Prasanna, Nath, Vishwesh, McHugo, Maureen, Huo, Yuankai, Resnick, Susan M., Woodward, Neil D., Landman, Bennett A., Lyu, Ilwoo
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6663093/
https://ncbi.nlm.nih.gov/pubmed/31201823
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jneumeth.2019.108311
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