AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

AFNet Algorithm for Automatic Amniotic Fluid Segmentation from Fetal MRI

Amniotic Fluid Volume (AFV) is a crucial fetal biomarker when diagnosing specific fetal abnormalities. This study proposes a novel Convolutional Neural Network (CNN) model, AFNet, for segmenting amniotic fluid (AF) to facilitate clinical AFV evaluation. AFNet was trained and tested on a manually seg...

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Bibliographic Details
Main Authors: Alejo Costanzo, Birgit Ertl-Wagner, Dafna Sussman
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Bioengineering
Subjects:
medical image segmentation
amniotic fluid
AFNet
fetal MRI
Magnetic Resonance Imaging
CNN
Online Access:https://www.mdpi.com/2306-5354/10/7/783

Internet

https://www.mdpi.com/2306-5354/10/7/783

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