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