AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks

Published:2019 Issue: Volume: Page:212-220
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Qin Yulei,Chen Mingjian,Zheng Hao,Gu Yun,Shen Mali,Yang Jie,Huang Xiaolin,Zhu Yue-Min,Yang Guang-Zhong

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-32226-7_24

Reference12 articles.

1. Charbonnier, J.P., et al.: Improving airway segmentation in computed tomography using leak detection with convolutional networks. MedIA 36, 52–60 (2017)

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3. Lecture Notes in Computer Science;D Jin,2017

4. Lecture Notes in Computer Science;AG-U Juarez,2018

5. Kampffmeyer, M., Dong, N., Liang, X., Zhang, Y., Xing, E.P.: ConnNet: a long-range relation-aware pixel-connectivity network for salient segmentation. IEEE TIP 28(5), 2518–2529 (2019)

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