Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection

Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection

Introduction Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatments and stops the progression of disabilities. Congen...

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Bibliographic Details
Main Authors: Dominic Gabriel Iliescu, Smaranda Belciug, Rodica Nagy, Renato Constantin Ivanescu, Mircea Sebastian Serbanescu, Florin Ispas, Cristina Maria Comanescu, Anca Istrate-Ofiteru
Format: Article
Language:English
Published: BMJ Publishing Group 2024-02-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/2/e077366.full

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https://bmjopen.bmj.com/content/14/2/e077366.full

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