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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...
שמור ב:
| הוצא לאור ב: | Front Neurosci |
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| Main Authors: | , , , , , , , , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2020
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| נושאים: | |
| גישה מקוונת: | 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 |
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