Is Manual Segmentation the Real Gold Standard for Tooth Segmentation? A Preliminary in vivo Study Using Cone-beam Computed Tomography Images
Author:
Publisher
Galenos Yayinevi
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Cited by 5 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. Semi or fully automatic tooth segmentation in CBCT images: a review;PeerJ Computer Science;2024-04-19
2. The Role of Cone Beam Computed Tomography in Periodontology: From 3D Models of Periodontal Defects to 3D-Printed Scaffolds;Journal of Personalized Medicine;2024-02-14
3. Correlation of alveolar bone thickness and central incisor inclination in skeletal Class I and II malocclusions with different vertical skeletal patterns: A CBCT study;American Journal of Orthodontics and Dentofacial Orthopedics;2023-10
4. Tooth automatic segmentation from CBCT images: a systematic review;Clinical Oral Investigations;2023-05-06
5. Improving performance of deep learning models using 3.5D U-Net via majority voting for tooth segmentation on cone beam computed tomography;Scientific Reports;2022-11-17
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