A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System-Reference-Cited by-同舟云学术

A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System

Published:2024-04-02 Issue: Volume: Page:
ISSN:2948-2933
Container-title:Journal of Imaging Informatics in Medicine
language:en
Short-container-title:J Digit Imaging. Inform. med.

Author:

Lubbad Mohammed A. H.^ORCID,Kurtulus Ikbal Leblebicioglu,Karaboga Dervis,Kilic Kerem,Basturk Alper,Akay Bahriye,Nalbantoglu Ozkan Ufuk,Yilmaz Ozden Melis Durmaz,Ayata Mustafa,Yilmaz Serkan,Pacal Ishak

Funder

Ulusal Metroloji Enstitüsü, Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10278-024-01086-x.pdf

Reference59 articles.

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2. M.A. Saghiri, P. Freag, A. Fakhrzadeh, A.M. Saghiri, J. Eid, Current technology for identifying dental implants: a narrative review, Bull Natl Res Cent 45 (2021) 7. https://doi.org/10.1186/s42269-020-00471-0.

3. T.G.T.M. T Takahashi K Nozaki, Identification of dental implants using deep learning—pilot study, (2020).

4. S.-N.J. Jae-Hong Lee, Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study., 99 (2020).

5. S.-N.J.J.-H. Lee, Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study., 99 (2020).

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