Automatic Segmentation Method for Cone-Beam Computed Tomography Image of the Bone Graft Region within Maxillary Sinus Based on the Atrous Spatial Pyramid Convolution Network-Reference-Cited by-同舟云学术

Automatic Segmentation Method for Cone-Beam Computed Tomography Image of the Bone Graft Region within Maxillary Sinus Based on the Atrous Spatial Pyramid Convolution Network

Published:2021-06 Issue:3 Volume:26 Page:298-305
ISSN:1007-1172
Container-title:Journal of Shanghai Jiaotong University (Science)
language:en
Short-container-title:J. Shanghai Jiaotong Univ. (Sci.)

Author:

Xu Jiangchang,He Shamin,Yu Dedong,Wu Yiqun,Chen Xiaojun

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s12204-021-2296-2.pdf

Reference23 articles.

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2. HUANG J, HU J H, LUO R C, et al. Linear measurements of sinus floor elevation based on voxel-based superimposition of cone beam computed tomography images [J]. Clinical Implant Dentistry and Related Research, 2019, 21(5): 1048–1053.

3. GERRESSEN M, RIEDIGER D, HILGERS R D, et al. The volume behavior of autogenous iliac bone grafts after sinus floor elevation: A clinical pilot study [J]. The Journal of Oral Implantology, 2015, 41(3): 276–283.

4. KIRMEIER R, PAYER M, WEHRSCHUETZ M, et al. Evaluation of three-dimensional changes after sinus floor augmentation with different grafting materials [J]. Clinical Oral Implants Research, 2008, 19(4): 366–372.

5. OKADA T, KANAI T, TACHIKAWA N, et al. Long-term radiographic assessment of maxillary sinus floor augmentation using beta-tricalcium phosphate: Analysis by cone-beam computed tomography [J]. International Journal of Implant Dentistry, 2016, 2(1): 1–9.

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