Complementary Network for Accurate Amniotic Fluid Segmentation From Ultrasound Images

Complementary Network for Accurate Amniotic Fluid Segmentation From Ultrasound Images

This study presents an automatic method for estimating antenatal amniotic fluid (AF) volume from two-dimensional ultrasound (US) images, which is an important indicator of fetal well-being. This automatic estimation of AF volume (AFV) requires automated segmentation of the AF pocket, which is a chal...

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Bibliographic Details
Main Authors: Siyu Sun, Ja-Young Kwon, Yejin Park, Hyun Cheol Cho, Chang Min Hyun, Jin Keun Seo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ultrasound image
amniotic fluid
reverberation artifacts
image segmentation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9492106/

Internet

https://ieeexplore.ieee.org/document/9492106/

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