SRF‐Net: Spatial Relationship Feature Network for Tooth Point Cloud Classification-Reference-Cited by-同舟云学术

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SRF‐Net: Spatial Relationship Feature Network for Tooth Point Cloud Classification

Published:2020-10 Issue:7 Volume:39 Page:267-277
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Ma Qian¹,Wei Guangshun¹,Zhou Yuanfeng¹,Pan Xiao²,Xin Shiqing³,Wang Wenping⁴

Affiliation:

1. School of Software Shandong University

2. School of Computer Science and Technology Shandong University of Finance and Economics

3. School of Computer Science and Technology Shandong University

4. Department of Computer Science The University of Hong Kong

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Natural Science Foundation of Shandong Province

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14143

Reference34 articles.

1. CuiZ. LiC. WangW.: Toothnet: Automatic tooth instance segmentation and identification from cone beam ct images. InProceedings of the IEEE Conference on Computer Vision and Pattern Recognition(2019) pp.6368–6377. 2 5

2. EunH. KimC.: Oriented tooth localization for periapical dental x‐ray images via convolutional neural network. In2016 Asia‐Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)(2016) IEEE pp.1–7. 2

3. A convolutional neural network approach for dental panoramic radiographs classification;Kuo Y.‐F.;Journal of Medical Imaging and Health Informatics,2017

4. Automated custom-manufacturing technology in orthodontics

5. LiJ. ChenB. M. Hee LeeG.: So‐net: Self‐organizing network for point cloud analysis. InProceedings of the IEEE conference on computer vision and pattern recognition(2018) pp.9397–9406. 2 7

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1. Self-Supervised Learning with Masked Autoencoders for Teeth Segmentation from Intra-oral 3D Scans;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. Intra-oral scan segmentation using deep learning;BMC Oral Health;2023-09-05

3. Automatic tooth segmentation from 3D dental model using deep learning: a quantitative analysis of what can be learnt from a single 3D dental model;18th International Symposium on Medical Information Processing and Analysis;2023-03-06

4. DBGANet: Dual-Branch Geometric Attention Network for Accurate 3D Tooth Segmentation;IEEE Transactions on Circuits and Systems for Video Technology;2023

5. Semantic Graph Attention With Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images;IEEE Transactions on Medical Imaging;2022-11

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