Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

Accurate segmentation of fetal heart in echocardiography images is essential for detecting the structural abnormalities such as congenital heart defects (CHDs). Due to the wide variations attributed to different factors, such as maternal obesity, abdominal scars, amniotic fluid volume, and great ves...

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Bibliographic Details
Main Authors: Siti Nurmaini, Muhammad Naufal Rachmatullah, Ade Iriani Sapitri, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus, Radiyati Umi Partan, Nuswil Bernolian
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Sensors
Subjects:
fetal echocardiography
deep learning
fetal heart standard view
heart defect
instance segmentation
Online Access:https://www.mdpi.com/1424-8220/21/23/8007

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