Mesh Segmentation for Individual Teeth Based on Two-Stream GCN With Self-Attention-Reference-Cited by-同舟云学术

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Mesh Segmentation for Individual Teeth Based on Two-Stream GCN With Self-Attention

Published:2024 Issue: Volume:12 Page:76735-76743
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Shi-Jian¹^ORCID,Kang Chao-Ming¹,Huang Feng-Hua²,Zou Zheng³^ORCID

Affiliation:

1. Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, China

2. Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing, Yango University, Fuzhou, China

3. College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China

Funder

National Natural Science Foundation of China

Fujian Provincial Department of Science and Technology

Department of Education, Fujian Province

Open Project of Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing Yango University

Hunan Provincial Department of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10534800.pdf?arnumber=10534800

Reference21 articles.

1. Automatic Classification and Segmentation of Teeth on 3D Dental Model Using Hierarchical Deep Learning Networks

2. Improving the Efficiency of Dental Implantation Process Using Guided Local Search Models and Continuous Time Neural Networks With Robotic Assistance

3. Review on Augmented Reality in Oral and Cranio-Maxillofacial Surgery: Toward “Surgery-Specific” Head-Up Displays

4. Interactive tooth partition of dental mesh base on tooth-target harmonic field

5. Automatic Tooth Segmentation of Dental Mesh Based on Harmonic Fields

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