Diagnosis of Dental Caries in OCT Images Based on Deep Learning
Author:
Affiliation:
1. College of Sciences, Shanghai Institute of Technology,Shanghai,China
2. Shanghai Ninth People's Hospital,Department of General Dentistry,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10368381/10368607/10369830.pdf?arnumber=10369830
Reference20 articles.
1. Analysis of epidemiological trends of and associated factors for tooth loss among 35- to 44-year-old adults in Guangdong, Southern China, 1995–2015: a population-based cross-sectional survey
2. Evaluation of occlusal caries detection and assessment by visual inspection, digital bitewing radiography and near-infrared light transillumination
3. Quantitative light-induced fluorescence (QLF): A tool for early occlusal dental caries detection and supporting decision making in vivo
4. Alternative methods to visual and radiographic examinations for approximal caries detection
5. Validation of swept-source optical coherence tomography (SS-OCT) for the diagnosis of occlusal caries
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