Dental Plaque Detection on Near-infrared Hyperspectral Image using Artificial Neural Network
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- YAHATA Ayano
- Tokyo University of Science
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- KITAGAWA Yuichi
- Tokyo University of Science
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- OKUBO Ayumu
- Tokyo University of Science
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- OKUBO Kyohei
- Tokyo University of Science
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- SOGA Kohei
- Tokyo University of Science
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- OHSHIMA Tomoko
- Tsurumi University School of Dental Medicine
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- TAKEMURA Hiroshi
- Tokyo University of Science
Bibliographic Information
- Other Title
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- ニューラルネットワークを用いた近赤外ハイパースペクトル画像におけるプラーク検出
Abstract
<p>This study shows the possibility of plaque detection by near-infrared hyper spectrum imaging (NIR-HSI) and machine learning without plaque stain. While the plaque stain shows where the plaque is, the plaque stain leaves color and may cause anaphylaxis. Near-infrared images are obtained from the plaque cultured teeth by NIR-HSI. RGB images of stained teeth are obtained and superimposed on the near-infrared image. The G channel of the RGB image is corrected to label the spectral data plaque or no plaque. Learning and prediction were performed by Artificial Neural Network. The proposed method showed that plaque could be detected without staining about 70% accurate.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (0), 2P1-F12-, 2020
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1391693801405555456
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- NII Article ID
- 130007944242
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed