1. Watanabe PC, Faria V, Camargo AJ. Multiple radiographic analysis (systemic disease): dental panoramic radiography. J Oral Health Dent Care 2017;1(1):007.
2. Maia AM, Karlsson L, Margulis W, Gomes AS. Evaluation of two imaging techniques: near-infrared transillumination and dental radiographs for the detection of early approximal enamel caries. Dentomaxillofac Radiol 2011;40(7):429-433. PMID:
21960400.
3. Shivpuje BV, Sable GS. A review on digital dental radiographic images for disease identification and classification. Int J Eng Res Appl 2016;6(7):38-42.
4. Suprijanto , Juliastuti E, Diputra Y, Mayantasari M, Azhari . Dental panoramic image analysis on mandibular bone for osteoporosis early detection Proceedings of 2013 3rd International Conference on Instrumentation Control and Automation (ICA); 2013 Aug 28–30. Ungasan, Indonesia; p. 138-143.
5. Vishnu T, Saranya K, Arunkumar R, Devi MG. Efficient and early detection of osteoporosis using trabecular region Proceedings of 2015 Online International Conference on Green Engineering and Technologies (IC-GET); 2015 Nov 27. Coimbatore, India; p. 1-5.
6. Sela EI, Widyaningrum R. Osteoporosis detection using important shape-based features of the porous trabecular bone on the dental X-ray images. Int J Adv Comput Sci Appl 2015;6(9):247-250.
7. Jatti A, Joshi R. Image processing and parameter extraction of digital panoramic dental X-rays with ImageJ Proceedings of 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS); 2016 Oct 6–8. Bangalore, India; p. 450-454.
8. Modi CK, Desai NP. A simple and novel algorithm for automatic selection of ROI for dental radiograph segmentation Proceedings of 2011 24th Canadian Conference on Electrical and Computer Engineering (CCECE); 2011 May 8–11. Niagara Fall, Canada; p. 000504-000507.
9. Shah N, Bansal N, Logani A. Recent advances in imaging technologies in dentistry. World J Radiol 2014;6(10):794-807. PMID:
25349663.
10. Raju J, Modi CK. A proposed feature extraction technique for dental X-ray images based on multiple features Proceedings of 2011 International Conference on Communication Systems and Network Technologies; 2011 Jun 3–5. Katra, India; p. 545-549.
11. Tuan TM, Duc NT, Van Hai P. Dental diagnosis from X-ray images using fuzzy rule-based systems. Int J Fuzzy Syst Appl 2017;6(1):1-16.
12. Mani VR, Arivazhagan S. Survey of medical image registration. J Biomed Eng Technol 2013;1(2):8-25.
13. Dighe S, Shriram R. Preprocessing, segmentation and matching of dental radiographs used in dental biometrics. Int J Sci Appl Inf Technol 2012;1(2):52-56.
14. Sela EI, Sutarman . Extracting the potential features of digital panoramic radiograph images by combining radio morphometry index, texture analysis, and morphological features. J Comput Sci 2018;14(2):144-152.
15. Sulistyani LD, Priaminiarti M, Auerkari EI, Kusdhany LS, Latief BS. Mandibular cortex correlates to alveolar bone density in indonesian women aged 40 to 75 years. J Int Dent Med Res 2016;9(3):215-220.
16. Majumder MI, Harun MA. Alveolar bone changes in post-menopausal osteopenic and osteoporosis women: an original research. Int J Dent Med Spec 2015;2(2):9-14.
17. Lira PH, Giraldi GA, Neves LA, Feijoo RA. Dental R-ray image segmentation using texture recognition. IEEE Lat Am Trans 2014;12(4):694-698.
18. Sela EI, Hartati S, Harjoko A, Wardoyo R, Mudjosemedi M. Feature selection of the combination of porous trabecular with anthropometric features for osteoporosis screening. Int J Electr Comput Eng 2015;5(1):78-83.
19. Geraets WG, Lindh C, Verheij H. Sparseness of the trabecular pattern on dental radiographs: visual assessment compared with semi-automated measurements. Br J Radiol 2012;85(1016):e455-e460. PMID:
22374281.
20. Amer ME, Heo MS, Brooks SL, Benavides E. Anatomical variations of trabecular bone structure in intraoral radiographs using fractal and particles count analyses. Imaging Sci Dent 2012;42(1):5-12. PMID:
22474642.
21. Koh KJ, Park HN, Kim KA. Prediction of age-related osteoporosis using fractal analysis on panoramic radiographs. Imaging Sci Dent 2012;42(4):231-235. PMID:
23301209.
22. Sela EI, Hartati S, Harjoko A, Wardoyo R, Munakhir MS. Segmentation on the dental periapical X-ray images for osteoporosis screening. Int J Adv Comput Sci Appl 2013;4(7):147-151.
23. El Allaoui A, Nasri M. Medical image segmentation by marker-controlled watershed and mathematical morphology. Int J Multimed Its Appl 2012;4(3):1-9.
24. Preim B, Botha C. Image analysis for medical visualization. In: Preim B, Botha C, editors. Visual computing for medicine: theory, algorithms, and application. 2nd ed. Waltham (MA): Elsevier/Morgan Kaufmann; 2014. p. 111-175.
25. Elsalamony HA. Detecting distorted and benign blood cells using the Hough transform based on neural networks and decision trees. In: Deligiannidis L, Arabnia H, editors. Emerging trends in image processing, computer vision and pattern recognition. Waltham (MA): Elsevier/Morgan Kaufmann; 2015. p. 457-473.