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Registration-Free Infant Cortical Surface Parcellation using Deep Convolutional Neural Networks
Automatic parcellation of infant cortical surfaces into anatomical regions of interest (ROIs) is of great importance in brain structural and functional analysis. Conventional cortical surface parcellation methods suffer from two main issues: 1) Cortical surface registration is needed for establishin...
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| 出版年: | Med Image Comput Comput Assist Interv |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6602589/ https://ncbi.nlm.nih.gov/pubmed/31263805 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-00931-1_77 |
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