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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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Bibliografiske detaljer
Principais autores: Sayma Alam Suha, Rifat Shahriyar
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2025-12-01
Serier:Neuroscience Informatics
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Online adgang:http://www.sciencedirect.com/science/article/pii/S2772528625000561
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