Deep learning-based automated detection of the dental crown finish line: An accuracy study

Author:

Choi Jinhyeok,Ahn Junseong,Park Ji-ManORCID

Funder

Korea Medical Device Development Fund

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

General Dentistry

Reference41 articles.

1. The clinical significance of marginal fit;Larson;Northwest Dent J,2012

2. Reliability of automatic finish line detection for tooth preparation in dental computer-aided software;Mai;J Prosthodont Res,2023

3. Feature extraction for margin lines using region growing with a dynamic weight function in a one-point bidirectional path search;Shin;J Comp Des Eng,2022

4. The extraction method of tooth preparation margin line based on S-Octree CNN;Zhang;Int J Numer Method Biomed Eng,2019

5. Accuracy of artificial intelligence-designed single-molar dental prostheses: A feasibility study;Chau;J Prosthet Dent,2023

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