An efficient annotation method for image recognition of dental instruments

Abstract To prevent needlestick injury and leftover instruments, and to perform efficient dental treatment, it is important to know the instruments required during dental treatment. Therefore, we will obtain a dataset for image recognition of dental treatment instruments, develop a system for detect...

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Bibliographic Details
Main Authors: Shintaro Oka, Kazunori Nozaki, Mikako Hayashi
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-26372-y