Journal of Innovative Optical Health Sciences, 2020, 13 (4): 2050014, Published Online: Aug. 7, 2020   

Automated classification of dual channel dental imaging of auto-fluorescence and white lightby convolutional neural networks

Author Affiliations
1 Institute of Biomedical Optics and Optometry, Key Laboratory of Medical Optical Technology and Instrument Ministry of Education, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
2 Shanghai Engineering Research Center of Interventional Medical Device, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
3 Department of Pediatric Dentistry, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, P. R. China
4 Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, National Clinical Research Center of Stomatology, Shanghai 200011, P. R. China
5 Engineering Research Center of Optical Instrument and System Ministry of Education, Shanghai Key Laboratory Modern, Optical System of Shanghai, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China
6 Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200093, P. R. China
Basic Information
DOI: 10.1142/s1793545820500145
中图分类号: --
栏目:
项目基金: Research was supported by National Natural Science Foundation of China 61775140. Thanks to Xiamen Roopto Technology Co., Ltd for providing support in equipment processing.
收稿日期: Dec. 31, 2019
修改稿日期: --
网络出版日期: Aug. 7, 2020
通讯作者: Jun Wang (wangjun202@126.com)
备注: --

Cheng Wang, Haotian Qin, Guangyun Lai, Gang Zheng, Huazhong Xiang, Jun Wang, Dawei Zhang. Automated classification of dual channel dental imaging of auto-fluorescence and white lightby convolutional neural networks[J]. Journal of Innovative Optical Health Sciences, 2020, 13(4): 2050014.

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