17 March 2017 Hybrid approach for detection of dental caries based on the methods FCM and level sets
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411V (2017) https://doi.org/10.1117/12.2268437
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
Abstract
This paper presents a new technique for detection of dental caries that is a bacterial disease that destroys the tooth structure. In our approach, we have achieved a new segmentation method that combines the advantages of fuzzy C mean algorithm and level set method. The results obtained by the FCM algorithm will be used by Level sets algorithm to reduce the influence of the noise effect on the working of each of these algorithms, to facilitate level sets manipulation and to lead to more robust segmentation. The sensitivity and specificity confirm the effectiveness of proposed method for caries detection.
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Marwa Chaabene, Marwa Chaabene, Ramzi Ben Ali, Ramzi Ben Ali, Ridha Ejbali, Ridha Ejbali, Mourad Zaied, Mourad Zaied, } "Hybrid approach for detection of dental caries based on the methods FCM and level sets", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411V (17 March 2017); doi: 10.1117/12.2268437; https://doi.org/10.1117/12.2268437
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