The Improvement of Model Performance for Automated Tooth Identification-Reference-Cited by-同舟云学术

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The Improvement of Model Performance for Automated Tooth Identification

Published:2023-11-16 Issue: Volume:37 Page:1-5
ISSN:
Container-title:2023 International Symposium on Fundamentals of Electrical Engineering (ISFEE)
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Author:

Goc Yusuf Fazil¹,Ergul Ozgur²,Celik Berrin³,Celik Mahmut Emin²

Affiliation:

1. Gazi University Central Campus, Faculty of Technology,Graduate School of Natural and Applied Sciences,Ankara,Turkey,06500

2. Gazi University,Faculty of Engineering,Electrical and Electronics Engineering Department,Ankara,Turkey,06570

3. Yildirim Beyazit University,Faculty of Dentistry,Oral and Maxillofacial Radiology Department,Ankara,Turkey,06760

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10636940/10636944/10637215.pdf?arnumber=10637215

Reference20 articles.

1. Digital tooth reconstruction: An innovative approach in forensic odontology;Johnson,2019

2. Forensic odontology with digital technologies: A systematic review

3. The biological significance of tooth identification based on developmental and evolutional viewpoints

4. Deep learning based detection tool for impacted mandibular third molar teeth;Celik,2022

5. Deep learning in periodontology and oral implantology: A scoping review

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