DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact Reduction-Reference-Cited by-同舟云学术

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DUALWISE-MAR: Dual-domain Multi-view Weakly supervised Segmentation Network for CBCT Metal Artifact Reduction

Published:2023-12-05 Issue: Volume:30 Page:1778-1783
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhong Xinyun¹,Wu Zhan²,Yang Yang²,Lyu Tianling³,Yu Wenxue²,Xi Yan⁴,Chen Yang¹

Affiliation:

1. Southeast University,School of Software,Nanjing,China,211189

2. Southeast University,School of Computer Science and Engineering,Nanjing,China,210096

3. Zhejiang Lab,Research Center for Augmented Intelligence,Hangzhou,China,311121

4. First-Imaging Technology,Shanghai,China,200120

Funder

Research and Development

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385592.pdf?arnumber=10385592

Reference17 articles.

1. Safety and accuracy of spinal instrumentation surgery in a hybrid operating room with an intraoperative cone-beam computed tomography

2. Reduction of CT artifacts caused by metallic implants.

3. Normalized metal artifact reduction (NMAR) in computed tomography

4. Metal artifact reduction in x‐ray computed tomography (CT) by constrained optimization

5. Fast iterative algorithm for metal artifact reduction in X-ray CT

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