Progress of Artificial Intelligence-Driven Solutions for Automated Segmentation of Dental Pulp Space on Cone-Beam Computed Tomography Images. A Systematic Review-Reference-Cited by-同舟云学术

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Progress of Artificial Intelligence-Driven Solutions for Automated Segmentation of Dental Pulp Space on Cone-Beam Computed Tomography Images. A Systematic Review

Published:2024-09 Issue:9 Volume:50 Page:1221-1232
ISSN:0099-2399
Container-title:Journal of Endodontics
language:en
Short-container-title:Journal of Endodontics

Author:

Alfadley Abdulmohsen,Shujaat Sohaib^ORCID,Jamleh Ahmed,Riaz Marryam,Aboalela Ali Anwar,Ma Hongyang,Orhan Kaan

Publisher

Elsevier BV

Reference45 articles.

1. Radiographic outcome of root canal treatment in general dental practice: tooth type and quality of root filling as prognostic factors;Laukkanen;Acta Odontol Scand,2021

2. Anatomical complexities affecting root canal preparation: a narrative review;Versiani;Aust Dent J,2023

3. Implications of root, pulp chamber, and canal anatomy on pulpotomy and revitalization procedures;Ahmed;Clin Oral Investig,2023

4. A computerized method for mathematical description of three-dimensional root canal axis;Dobo-Nagy;J Endod,2000

5. CBCT image based segmentation method for tooth pulp cavity region extraction;Wang;Dentomaxillofac Radiol,2019

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. Insights into the September 2024 Issue of the Journal of Endodontics;Journal of Endodontics;2024-09

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