Automatic Lumbar Vertebrae Detection Based on Feature Fusion Deep Learning for Partial Occluded C-arm X-ray Images-Reference-Cited by-同舟云学术

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Automatic Lumbar Vertebrae Detection Based on Feature Fusion Deep Learning for Partial Occluded C-arm X-ray Images

Published:2016-08 Issue: Volume: Page:
ISSN:
Container-title:2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Author:

Li Yang,Liang Wei,Zhang Yinlong,An Haibo,Tan Jindong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7580725/7590615/07590785.pdf?arnumber=7590785

Cited by 21 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. VertXNet: an ensemble method for vertebral body segmentation and identification from cervical and lumbar spinal X-rays;Scientific Reports;2024-02-09

2. A comparative review on multi-modal sensors fusion based on deep learning;Signal Processing;2023-12

3. Lumbar Spinal Canal Segmentation in Cases with Lumbar Stenosis Using Deep-U-Net Ensembles;World Neurosurgery;2023-10

4. VDVM: An automatic vertebrae detection and vertebral segment matching framework for C-arm X-ray image identification;Journal of X-Ray Science and Technology;2023-09-14

5. Multi-perspective region-based CNNs for vertebrae labeling in intraoperative long-length images;Computer Methods and Programs in Biomedicine;2022-12

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