Semi-supervised learning in diagnosis of infant hip dysplasia towards multisource ultrasound images
Xuanpeng Li,
Ruixiang Zhang,
Zhibo Wang
et al.
Abstract:Background
Automated diagnosis of infant hip dysplasia is heavily affected by the individual differences among infants and ultrasound machines.
Methods
Hip sonographic images of 493 infants from various ultrasound machines were collected in the Department of Orthopedics in Yangzhou Maternal and Child Health Care Service Centre. Herein, we propose a semi-supervised learning method based on a feature pyramid network (FPN) and a contrastive learning scheme based on a Siame… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.