@inbook{fb3e45fe27dd4fb98efacdad37374832,
title = "Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening",
abstract = "Prenatal screening with ultrasound can lower neonatal mortality significantly for selected cardiac abnormalities. However, the need for human expertise, coupled with the high volume of screening cases, limits the practically achievable detection rates. In this paper we discuss the potential for deep learning techniques to aid in the detection of congenital heart disease (CHD) in fetal ultrasound. We propose a pipeline for automated data curation and classification. During both training and inference, we exploit an auxiliary view classification task to bias features toward relevant cardiac structures. This bias helps to improve in F1-scores from 0.72 and 0.77 to 0.87 and 0.85 for healthy and CHD classes respectively.",
keywords = "Congenital heart disease, Fetal ultrasound",
author = "Jeremy Tan and Anselm Au and Qingjie Meng and Sandy FinesilverSmith and John Simpson and Daniel Rueckert and Reza Razavi and Thomas Day and David Lloyd and Bernhard Kainz",
year = "2020",
doi = "10.1007/978-3-030-60334-2_24",
language = "English",
isbn = "9783030603335",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "243--252",
editor = "Yipeng Hu and Roxane Licandro and Noble, {J. Alison} and Jana Hutter and Andrew Melbourne and Stephen Aylward and {Abaci Turk}, Esra and {Torrents Barrena}, Jordina and {Torrents Barrena}, Jordina",
booktitle = "Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings",
address = "Germany",
note = "1st International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2020, and the 5th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 ; Conference date: 04-10-2020 Through 08-10-2020",
}