Automated Coronary Tree Segmentation for X-ray Angiography Sequences Using Fully-convolutional Neural Networks-Reference-Cited by-同舟云学术

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Automated Coronary Tree Segmentation for X-ray Angiography Sequences Using Fully-convolutional Neural Networks

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Visual Communications and Image Processing (VCIP)
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Author:

Zhao Lei,Li Deyu,Chen Jianhui,Wan Tao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8694905/8698608/08698707.pdf?arnumber=8698707

Cited by 6 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. Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images;Applied Intelligence;2023-11-07

2. A Gated nmODE Network for Coronary Artery Segmentation in Computed Tomography Angiography Images;2023 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC);2023-10-20

3. Selective ensemble methods for deep learning segmentation of major vessels in invasive coronary angiography;Medical Physics;2023-06-13

4. Improved U-Net with channel and spatial attention for coronary angiography segmentation;2022 16th ICME International Conference on Complex Medical Engineering (CME);2022-11-04

5. An unsupervised image segmentation algorithm for coronary angiography;BioData Mining;2022-10-21

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