Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases

Deep Learning for Improving the Effectiveness of Routine Prenatal Screening for Major Congenital Heart Diseases

Early prenatal screening with an ultrasound (US) can significantly lower newborn mortality caused by congenital heart diseases (CHDs). However, the need for expertise in fetal cardiologists and the high volume of screening cases limit the practically achievable detection rates. Hence, automated pren...

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Bibliographic Details
Main Authors: Siti Nurmaini, Radiyati Umi Partan, Nuswil Bernolian, Ade Iriani Sapitri, Bambang Tutuko, Muhammad Naufal Rachmatullah, Annisa Darmawahyuni, Firdaus Firdaus, Johanes C. Mose
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Clinical Medicine
Subjects:
congenital heart disease
classification
deep learning
explainable AI
fetal ultrasound
Online Access:https://www.mdpi.com/2077-0383/11/21/6454

Internet

https://www.mdpi.com/2077-0383/11/21/6454

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