Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks-Reference-Cited by-同舟云学术

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Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks

Published:2017-04 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
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Author:

Sundaresan Vaanathi,Bridge Christopher P.,Ioannou Christos,Noble J. Alison

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7944115/7950442/07950609.pdf?arnumber=7950609

Cited by 40 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. Enhancing Fetal Cardiac Ultrasound Diagnosis: A Multi-Task Hybrid Attention Model for Accurate Standard Plane Detection;2024-09-06

2. Investigation on ultrasound images for detection of fetal congenital heart defects;Biomedical Physics & Engineering Express;2024-05-31

3. Fetal cardiac ultrasound standard section detection model based on multitask learning and mixed attention mechanism;Neurocomputing;2024-04

4. Application Status and Prospect of Deep Learning in Echocardiography;IEEE Access;2024

5. FHUSP-NET: A Multi-task model for fetal heart ultrasound standard plane recognition and key anatomical structures detection;Computers in Biology and Medicine;2024-01

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