HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos-Reference-Cited by-同舟云学术

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

Published:2024-05 Issue:5 Volume:28 Page:2943-2954
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Pu Bin¹^ORCID,Li Kenli¹^ORCID,Chen Jianguo²^ORCID,Lu Yuhuan¹^ORCID,Zeng Qing³^ORCID,Yang Jiewen⁴^ORCID,Li Shengli³^ORCID

Affiliation:

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

2. School of Software Engineering, Sun Yat-Sen University, Zhuhai, China

3. Department of Ultrasound, Shenzhen Maternity & Child Healthcare Hospital, Shenzhen, China

4. Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10449335.pdf?arnumber=10449335

Reference40 articles.

1. ISUOG Practice Guidelines (updated): sonographic screening examination of the fetal heart

2. Fetal Congenital Heart Disease Echocardiogram Screening Based on DGACNN: Adversarial One-Class Classification Combined with Video Transfer Learning

3. Automatic Fetal Ultrasound Standard Plane Recognition Based on Deep Learning and IIoT

4. Multibeat echocardiographic phase detection using deep neural networks

5. MobileUNet-FPN: A Semantic Segmentation Model for Fetal Ultrasound Four-Chamber Segmentation in Edge Computing Environments

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized Pyramidal Convolution Shuffle attention neural network based fetal cardiac cycle detection from echocardiograms;Biomedical Signal Processing and Control;2024-12

2. FARN: Fetal Anatomy Reasoning Network for Detection With Global Context Semantic and Local Topology Relationship;IEEE Journal of Biomedical and Health Informatics;2024-08

3. Automatic segmentation of 15 critical anatomical labels and measurements of cardiac axis and cardiothoracic ratio in fetal four chambers using nnU-NetV2;BMC Medical Informatics and Decision Making;2024-05-21

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

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