Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods-Reference-Cited by-同舟云学术

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Automated tracking of the mandibular canal in CBCT images using matching and multiple hypotheses methods

Published:2012-08 Issue: Volume: Page:
ISSN:
Container-title:2012 Fourth International Conference on Communications and Electronics (ICCE)
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Author:

Moris Brecht,Claesen Luc,Yi Sun ,Politis Constantinus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6307954/6315859/06315922.pdf?arnumber=6315922

Cited by 15 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. Enhancing Patch-Based Learning for the Segmentation of the Mandibular Canal;IEEE Access;2024

2. Automatic segmentation of mandibular canal using transformer based neural networks;Frontiers in Bioengineering and Biotechnology;2023-11-17

3. Advancements in oral and maxillofacial surgery medical images segmentation techniques: An overview;Journal of Dentistry;2023-11

4. Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network;BMC Oral Health;2023-10-25

5. Whole mandibular canal segmentation using transformed dental CBCT volume in Frenet frame;Heliyon;2023-07

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