Rethinking Computer-Aided Pelvis Segmentation-Reference-Cited by-同舟云学术

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Rethinking Computer-Aided Pelvis Segmentation

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
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Author:

Yuan Siming¹,Liu Qing¹,Liao Shenghui¹,Han Fuchang¹,Wei Haitao²,Zhang Yingqi³

Affiliation:

1. Central South University,School of Computer Science and Engineering,Changsha,China,410083

2. Central South E3D Digital Medical and Virtual Reality Research Center,Changsha,China,410083

3. Tongji University,Tongji Hospital, School of Medicine,Shanghai,China,200000

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747248.pdf?arnumber=9747248

Reference26 articles.

1. Accuracy of CT Colonography for Detection of Large Adenomas and Cancers

2. Lednet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation

3. BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation;yu;Proceedings of the European Conference on Computer Vision (ECCV),2018

4. Pyramid Scene Parsing Network

5. Rethinking atrous convolution for semantic image segmentation;chen,2017

Cited by 1 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. Deep-learning-based pelvic automatic segmentation in pelvic fractures;Scientific Reports;2024-05-28

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