Conference
Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
Abstract
Ultrasound imaging is a standard examination during pregnancy that can be used for measuring specific biometric parameters towards prenatal diagnosis and estimating gestational age. Fetal head circumference (HC) is one of the significant factors to determine the fetus growth and health. In this paper, a multi-task deep convolutional neural network is proposed for automatic segmentation and estimation of HC ellipse by minimizing a compound cost …
Authors
Sobhaninia Z; Rafiei S; Emami A; Karimi N; Najarian K; Samavi S; Soroushmehr SMR
Volume
00
Pagination
pp. 6545-6548
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
July 2019
DOI
10.1109/embc.2019.8856981
Name of conference
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference proceedings
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISSN
1557-170X