Superpixel Approach in Computer-Aided Detection System of Dental Cavities in X-Ray Images
Author:
Funder
the Korea governmen
MSIT(Ministry of Science and ICT), Korea
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
http://link.springer.com/content/pdf/10.1007/s42835-020-00382-0.pdf
Reference20 articles.
1. Jain AK, Chen H (2004) Matching of dental X-ray images for human identification. Pattern Recognit 37:1519–1532
2. Hong C, Jain AK (2004) Tooth contour extraction for matching dental radiographs. In Proceedings of the 17th international conference on pattern recognition, 2004. ICPR 2004, Vol.3, pp. 522–525
3. Fahmy G, Nassar D, Haj-Said E, Chen H, Nomir O, Zhou J, et al. (2004) Towards an automated dental identification system (ADIS). In: Biometric Authentication, Berlin, Heidelberg, pp. 789–796
4. Gomez J, Tellez M, Pretty IA, Ellwood RP, Ismail AI (2013) Non-cavitated carious lesions detection methods: a systematic review. Community Dent Oral Epidemiol 41:55–66
5. Kim J-S (2005) Assessment of caries risk and early diagnosis of caries lesions. J Korean Dent Assoc 43:312–317
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