Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI

Fetal Organ Anomaly Classification Network for Identifying Organ Anomalies in Fetal MRI

Rapid development in Magnetic Resonance Imaging (MRI) has played a key role in prenatal diagnosis over the last few years. Deep learning (DL) architectures can facilitate the process of anomaly detection and affected-organ classification, making diagnosis more accurate and observer-independent. We p...

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Bibliographic Details
Main Authors: Justin Lo, Adam Lim, Matthias W. Wagner, Birgit Ertl-Wagner, Dafna Sussman
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Artificial Intelligence
Subjects:
deep learning
fetal MRI
Convolutional Neural Network (CNN)
image classification
fetal disease
fetal organ anomaly
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2022.832485/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2022.832485/full

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