Cited by 180Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics

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Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

Chen, Hao, Dou, Qi, Ni, Dong, Cheng, Jie-Zhi, Qin, Jing, Li, Shengli, Heng, Pheng-Ann·2015·Lecture Notes in Computer Science

DOI 10.1007/978-3-319-24553-9_62

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Authors: Chen, H., Dou, Q., Ni, D., Cheng, J.-Z., Qin, J., Li, S., & Heng, P.-A.
Affiliations: Chinese University of Hong Kong (HK)
Shenzhen University (CN)
Shenzhen Maternity and Child Healthcare Hospital (CN)
ORCID: Chen, Hao
Dou, Qi
Ni, Dong
Cheng, Jie-Zhi
Qin, Jing
Li, Shengli
Heng, Pheng-Ann
Venue: Lecture Notes in Computer Science
Publisher: Springer International Publishing
Published: 2015
Pages: 507-514
ISSN: 0302-9743 (ISSN-L)
1611-3349
DOI: 10.1007/978-3-319-24553-9_62
OpenAlex: W2294318823
Cited by: 180
References: 11
Citations by year: 2026: 5 · 2025: 9 · 2024: 12 · 2023: 14 · 2022: 17 · 2021: 17 · 2020: 20 · 2019: 29 · 2018: 19 · 2017: 20 · 2016: 18
FWCI: 7.79
Type: conference paper
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Lecture notes in computer science (publishedVersion)
Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
Topics: Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Screening and Diagnostics
Keywords: prenatal ultrasound, knowledge transfer, recurrent neural networks, spatiotemporal feature learning, multi-task learning, limited training data, fetal anatomy, temporal sequence learning

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Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

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