Studies of Automatic Dental Cavity Detection System as an Auxiliary Tool for Diagnosis of Dental Caries in Digital X-ray Image

52 This work was supported by the Industrial Strategic Technology Development Program (10035527) funded by the Ministry of Trade, Industry and Energy (MOTIE, KOREA), and the Nuclear Power Core Technology Development Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No.20131510400050). Received 10 March 2015, Revised 16 March 2015, Accepted 18 March 2015 Correspondence: Rena Lee (renalee@ewha.ac.kr) Tel: 82-2-2650-5337, Fax: 82-2-2654-0363 cc This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Studies of Automatic Dental Cavity Detection System as an Auxiliary Tool for Diagnosis of Dental Caries in Digital X-ray Image

[1]  I A Pretty,et al.  Non-cavitated carious lesions detection methods: a systematic review. , 2013, Community dentistry and oral epidemiology.

[2]  S. Osher,et al.  Algorithms Based on Hamilton-Jacobi Formulations , 1988 .

[3]  N B Pitts,et al.  Clinical diagnosis of dental caries: a European perspective. , 2001, Journal of dental education.

[4]  Iain A Pretty,et al.  Caries detection and diagnosis: novel technologies. , 2006, Journal of dentistry.

[5]  J. Sethian,et al.  FRONTS PROPAGATING WITH CURVATURE DEPENDENT SPEED: ALGORITHMS BASED ON HAMILTON-JACOB1 FORMULATIONS , 2003 .

[6]  S. Osher,et al.  Level set methods: an overview and some recent results , 2001 .

[7]  Chunming Li,et al.  Distance Regularized Level Set Evolution and Its Application to Image Segmentation , 2010, IEEE Transactions on Image Processing.

[8]  Guillermo Sapiro,et al.  Geodesic Active Contours , 1995, International Journal of Computer Vision.

[9]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[10]  Bennett T. Amaechi,et al.  Emerging technologies for diagnosis of dental caries: The road so far , 2009 .

[11]  Ye Yuan,et al.  Adaptive active contours without edges , 2012, Math. Comput. Model..

[12]  N B Pitts,et al.  International Caries Detection and Assessment System (ICDAS) and its International Caries Classification and Management System (ICCMS) - methods for staging of the caries process and enabling dentists to manage caries. , 2013, Community dentistry and oral epidemiology.

[13]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[14]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[15]  Adam Krzyzak,et al.  An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments , 2006, Comput. Medical Imaging Graph..