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Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray images

Published Online: 2022-05-04

Published Print: 2022-06

Authors

Mima, Yuichi https://orcid.org/0000-0002-7965-3084
Nakayama, Ryohei

Hizukuri, Akiyoshi

Murata, Kan
Funding

Funding for this research was provided by:

TAKARA TELESYSTEMS Corporation
License Information

Text and Data Mining valid from 2022-05-04

Version of Record valid from 2022-05-04
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Article History

Received: 25 November 2021

Revised: 19 April 2022

Accepted: 20 April 2022

First Online: 4 May 2022

Declarations

:

: The authors declare no conflict of interest.

: All procedures performed in the current study involving human participants were in accordance with the ethical standards of the Institutional Review Board (IRB) and the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

: Informed consent was obtained from all study participants.

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