Ultrasound segmentation using U-Net: learning from simulated data and testing on real data-Reference-Cited by-同舟云学术

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Ultrasound segmentation using U-Net: learning from simulated data and testing on real data

Published:2019-07 Issue: Volume: Page:
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Container-title:2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Behboodi Bahareh,Rivaz Hassan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8844528/8856280/08857218.pdf?arnumber=8857218

Cited by 21 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. Detection of COVID-19 features in lung ultrasound images using deep neural networks;Communications Medicine;2024-03-11

2. Segmentation of Substantia Nigra in Brain Parenchyma Sonographic Images Using Deep Learning;Journal of Imaging;2023-12-19

3. Automated detection and segmentation of pleural effusion on ultrasound images using an Attention U‐net;Journal of Applied Clinical Medical Physics;2023-12-13

4. Ongoing Research Areas in Ultrasound Beamforming;Beamforming in Medical Ultrasound Imaging;2023-11-29

5. End to End Neural Network Application for Ultrasonic Computed Tomography Image Recognition;2023 IEEE International Conference on Artificial Intelligence & Green Energy (ICAIGE);2023-10-12

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