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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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Principais autores: Joshua Eisenstat, Matthias W. Wagner, Logi Vidarsson, Birgit Ertl-Wagner, Dafna Sussman
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2023-01-01
סדרה:Bioengineering
נושאים:
deep learning
fetal orientation
convolutional neural network
magnetic resonance image
architecture
fetal diagnosis
גישה מקוונת:https://www.mdpi.com/2306-5354/10/2/140
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