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Fetal Cortical Plate Segmentation Using Fully Convolutional Networks With Multiple Plane Aggregation
Fetal magnetic resonance imaging (MRI) has the potential to advance our understanding of human brain development by providing quantitative information of cortical plate (CP) development in vivo. However, for a reliable quantitative analysis of cortical volume and sulcal folding, accurate and automat...
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| 出版年: | Front Neurosci |
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| 主要な著者: | , , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7738480/ https://ncbi.nlm.nih.gov/pubmed/33343286 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2020.591683 |
| タグ: |
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