Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network-Reference-Cited by-同舟云学术

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Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network

Published:2023-12-15 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
language:
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Author:

Amorim Paulo H. J.¹,Moraes Thiago F.²,Da Silva Jorge V.L.²,Pedrini Helio³

Affiliation:

1. Technological Development Center, Oswaldo Cruz Foundation,Rio de Janeiro-RJ,Brazil,21040-900

2. CTI Renato Archer,Division of Technologies for Production and Health,Campinas,SP,Brazil,13069-901

3. Institute of Computing, University of Campinas (UNICAMP),Campinas,SP,Brazil,13083-852

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459897.pdf?arnumber=10459897

Reference30 articles.

1. Marker-based watershed transform method for fully automatic mandibular segmentation from CBCT images

2. A Novel Registration-Based Semiautomatic Mandible Segmentation Pipeline Using Computed Tomography Images to Study Mandibular Development

3. Automated bone segmentation from dental CBCT images using patch-based sparse representation and convex optimization

4. Fully automatic shape constrained mandible segmentation from cone-beam CT data

5. Automatic 3D segmentation of mandible for assessment of facial asymmetry

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 segmentation of mandible with lower dentition from cone beam CT;Oral Radiology;2024-08-14

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