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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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| 出版年: | J Neurosci Methods |
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| 主要な著者: | , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 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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