Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation-Reference-Cited by-同舟云学术

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Train a 3D U-Net to segment cranial vasculature in CTA volume without manual annotation

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
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Author:

Chen Xuhui,Lu Yi,Bai Junjie,Yin Youbing,Cao Kunlin,Li Yuwei,Chen Hanbo,Song Qi,Wu Jun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8359997/8363198/08363638.pdf?arnumber=8363638

Cited by 11 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

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2. All answers are in the images: A review of deep learning for cerebrovascular segmentation;Computerized Medical Imaging and Graphics;2023-07

3. Prior knowledge-based precise diagnosis of blend sign from head computed tomography;Frontiers in Neuroscience;2023-02-10

4. Simultaneous vessel segmentation and unenhanced prediction using self-supervised dual-task learning in 3D CTA (SVSUP);Computer Methods and Programs in Biomedicine;2022-09

5. Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation;ACM Transactions on Computing for Healthcare;2022-01-31

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