Fet-Net Algorithm for Automatic Detection of Fetal Orientation in Fetal MRI

Identifying fetal orientation is essential for determining the mode of delivery and for sequence planning in fetal magnetic resonance imaging (MRI). This manuscript describes a deep learning algorithm named Fet-Net, composed of convolutional neural networks (CNNs), which allows for the automatic det...

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Detalles Bibliográficos
Autores principales: Eisenstat, Joshua, Wagner, Matthias W., Vidarsson, Logi, Ertl-Wagner, Birgit, Sussman, Dafna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952178/
https://www.ncbi.nlm.nih.gov/pubmed/36829634
http://dx.doi.org/10.3390/bioengineering10020140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952178/
https://www.ncbi.nlm.nih.gov/pubmed/36829634
http://dx.doi.org/10.3390/bioengineering10020140

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