Deep learning for fetal brain imaging: A systematic review and framework towards privacy-preserving neurodevelopmental informatics
Fetal neurodevelopment is a complex process of neural growth during pregnancy, where early detection of abnormalities is vital, and deep learning offers promising techniques for this purpose. The objective of this systematic review is to investigate deep learning applications in fetal neurodevelopme...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Elsevier
2025-12-01
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| Series: | Neuroscience Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772528625000561 |
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