Segmentation of ten fetal heart components with coarse‐to‐fine cascading and dynamic feature powering-Reference-Cited by-同舟云学术

Segmentation of ten fetal heart components with coarse‐to‐fine cascading and dynamic feature powering

Published:2022-07-29 Issue:14 Volume:16 Page:3831-3841
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Yang Tingyang¹^ORCID,Zhang Ye²,Zhu Mengxiao³,Wang Yan¹,An Shan¹,Gu Xiaoyan²,Liu Xiaowei²,Han Jiancheng²,He Yihua²,Zhu Haogang¹

Affiliation:

1. State Key Laboratory of Software Development Environment Beihang University Beijing China

2. Echocardiography Medical Center Beijing Anzhen Hospital Capital Medical University Maternal‐Fetal Medicine center in Fetal Heart Disease Beijing Anzhen Hospital Beijing China

3. School of Information Science and Technology North China University of Technology Beijing China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12597

Reference36 articles.

1. Coxsackievirus B3 Infection Early in Pregnancy Induces Congenital Heart Defects Through Suppression of Fetal Cardiomyocyte Proliferation

2. Perinatal and Delivery Management of Infants with Congenital Heart Disease

3. Diagnosing cardiac disease during pregnancy: imaging modalities

4. DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography

5. FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-chamber Views

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