DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation-Reference-Cited by-同舟云学术

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DFR-Net: A Novel Multi-Task Learning Network for Real-Time Multi-Instrument Segmentation

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
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Author:

Zhou Yan-Jie¹,Liu Shi-Qi²,Xie Xiao-Liang¹,Hou Zeng-Guang³

Affiliation:

1. Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Center for Excellence in Brain Science and Intelligence Technology; & MUST, Beijing, China

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Natural Science Foundation of China

National Key Research and Development Plan of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475491

Reference53 articles.

1. Guide-wire tracking during endovascular interventions;Baert Shirley AM;IEEE Transactions on Medical Imaging,2003

2. Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair;Breininger Katharina;International Journal of Computer Assisted Radiology and Surgery,2018

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