FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship-Reference-Cited by-同舟云学术

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FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship

Published:2024-08 Issue:8 Volume:28 Page:4866-4877
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhao Lei¹^ORCID,Tan Guanghua¹^ORCID,Wu Qianghui¹^ORCID,Pu Bin²^ORCID,Ren Hongliang³^ORCID,Li Shengli⁴^ORCID,Li Kenli¹^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China

2. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, SAR, China

3. Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, SAR, China

4. Department of Ultrasound, Shenzhen Maternal and Child Healthcare Hospital, Shenzhen, China

Funder

National Key R&D Program of China

Basic Research on Scientific Instruments of the National Natural Science Foundation of China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10625760/10506586.pdf?arnumber=10506586

Reference45 articles.

1. Deep Learning in Medical Ultrasound Analysis: A Review

2. HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos

3. Fetal cardiac cycle detection in multi-resource echocardiograms using hybrid classification framework

4. Integration of Local and Global Features for Anatomical Object Detection in Ultrasound

5. The End-to-end Fetal Head Circumference Detection and Estimation in Ultrasound Images

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2. Fetal Cardiac Structure Detection Using Multi-task Learning;Lecture Notes in Computer Science;2024

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