{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T07:54:10Z","timestamp":1781596450792,"version":"3.54.5"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:00:00Z","timestamp":1578009600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:00:00Z","timestamp":1578009600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Health Inf Sci Syst"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s13755-019-0096-y","type":"journal-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T15:03:05Z","timestamp":1578063785000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":151,"title":["Dental caries diagnosis in digital radiographs using back-propagation neural network"],"prefix":"10.1007","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5936-2098","authenticated-orcid":false,"given":"V.","family":"Geetha","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K. S.","family":"Aprameya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dharam M.","family":"Hinduja","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,1,3]]},"reference":[{"key":"96_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-006-0040-x","author":"K Suwadee","year":"2006","unstructured":"Suwadee K, Sanpjet S, Supatyra P, Sujin B, Danaipong C. An artificial neural network for detection of simulated dental caries. Int J CARS. 2006. https:\/\/doi.org\/10.1007\/s11548-006-0040-x.","journal-title":"Int J CARS."},{"key":"96_CR2","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1016\/j.patcog.2003.12.016","volume":"37","author":"KJ Anil","year":"2004","unstructured":"Anil KJ, Hong C. Matching of dental X-ray images for human identification. Pattern Recognit. 2004;37:1519\u201332.","journal-title":"Pattern Recognit."},{"key":"96_CR3","first-page":"1","volume":"54","author":"ED Beltran-Aguilar","year":"2005","unstructured":"Beltran-Aguilar ED, Barker LK, Canto MT, Dye BA, Gooch BF, Griffin SO. Survellance for dental caries, dental sealants, tooth retention, edentulism and enamel fluorosis-United States, 1988-1994 and 1999-2002. MMWR Surveill. Summ. 2005;54:1\u201343.","journal-title":"MMWR Surveill. Summ."},{"key":"96_CR4","unstructured":"Centres for Disease Control and Prevention, National Health and Nutrition Examination Survey (NHANES) (1999\u20132002)."},{"key":"96_CR5","doi-asserted-by":"publisher","first-page":"1314","DOI":"10.14219\/jada.archive.2007.0046","volume":"138","author":"PS Stein","year":"2007","unstructured":"Stein PS, Desrosiers M, Donegan SJ, Yepes JF, Kryscio RJ. Tooth loss, dementia and neuropathy in the Nun study. J Am Dent Assoc. 2007;138:1314\u201322.","journal-title":"J Am Dent Assoc"},{"key":"96_CR6","doi-asserted-by":"crossref","unstructured":"Olsen GF, Brilliant SS, Primeaux D, Najarian K. An image processing enabled dental caries detection system. In: Proceedings of the 2009 ICME international conference on complex medical engineering; 2009. pp. 1\u20138.","DOI":"10.1109\/ICCME.2009.4906674"},{"key":"96_CR7","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.jdent.2018.07.015","volume":"77","author":"J-H Lee","year":"2018","unstructured":"Lee J-H, Kim D-H, Jeong S-N, Choi S-H. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. J Dent. 2018;77:106\u201311.","journal-title":"J Dent"},{"issue":"10","key":"96_CR8","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1109\/TMI.2004.832656","volume":"23","author":"G Pierre","year":"2004","unstructured":"Pierre G, Beaudoin G, De Guise JA. A method for modelling noise in medical images. IEEE Trans Med Imaging. 2004;23(10):1221\u201332.","journal-title":"IEEE Trans Med Imaging"},{"key":"96_CR9","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511596803","volume-title":"Fundamentals of medical imaging","author":"P Suetens","year":"2009","unstructured":"Suetens P. Fundamentals of medical imaging. 2nd ed. Cambridge: Cambridge University Press; 2009.","edition":"2"},{"issue":"3","key":"96_CR10","doi-asserted-by":"publisher","first-page":"350","DOI":"10.1109\/TMI.2004.824235","volume":"23","author":"T Kondo","year":"2004","unstructured":"Kondo T, Ong S, Foong K. Tooth segmentation of dental study models using range images. IEEE Trans Med Imaging. 2004;23(3):350\u201362.","journal-title":"IEEE Trans Med Imaging"},{"key":"96_CR11","unstructured":"Pedro HML, Gilson AG, Luiz APN: Using the mathematical morphology and shape matching for automatic data extraction in dental X-ray images. In: Proceedings of the workshop of computer vision; 2009."},{"issue":"11","key":"96_CR12","doi-asserted-by":"publisher","first-page":"2132","DOI":"10.1016\/j.patcog.2005.01.011","volume":"38","author":"J Zhou","year":"2005","unstructured":"Zhou J, Abdel M. A content-based system for human identification based on bitewing dental X-ray images. Pattern Recognit. 2005;38(11):2132\u201342.","journal-title":"Pattern Recognit."},{"issue":"11","key":"96_CR13","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.1016\/j.patcog.2004.12.010","volume":"38","author":"O Nomir","year":"2005","unstructured":"Nomir O, Abdel M. A system for human identification for human identification from X-ray dental radiographs. Pattern Recognit. 2005;38(11):1295\u2013305.","journal-title":"Pattern Recognit."},{"key":"96_CR14","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.compmedimag.2005.10.007","volume":"30","author":"S Li","year":"2006","unstructured":"Li S, Fevens T, Krzyzak A. An automatic variational level set segmentation framework for computer aided dental X-ray analysis in clinical environments. Comput Med Imaging Graph.\u00a02006;30:65\u201374.","journal-title":"Comput Med Imaging Graph"},{"key":"96_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-14136-3","volume-title":"Dental image analysis for disease diagnosis","author":"KR Jain","year":"2019","unstructured":"Jain KR, Chauhan NC. Dental image analysis for disease diagnosis. Basel: Springer; 2019."},{"key":"96_CR16","volume-title":"Neural network design","author":"MT Hagan","year":"1995","unstructured":"Hagan MT, Demuth HB, Beale M. Neural network design. Boston: PWS Publishing; 1995."},{"key":"96_CR17","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1046\/j.1365-2281.1999.00203.x","volume":"19","author":"D Lindahl","year":"1999","unstructured":"Lindahl D, Palmer J, Eden BL. Myocardial SPET: artificial neural network describes extent and severity of perfusion defects. Clin Physiol. 1999;19:495\u2013503.","journal-title":"Clin Physiol"},{"key":"96_CR18","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1007\/s002590000409","volume":"28","author":"H Holst","year":"2001","unstructured":"Holst H, Mare K, Jarund A, Astrok K, Evandre E, Tagil K, Ohlsso M, Edenbrandt L. An independent evaluation of a new method for automated interpretation of lung scintigrams using artificial neural networks. Eur J Nucl Med. 2001;28:33\u20138.","journal-title":"Eur J Nucl Med"},{"key":"96_CR19","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1002\/j.0022-0337.2004.68.6.tb03777.x","volume":"68","author":"EA Mendonca","year":"2004","unstructured":"Mendonca EA. Clinical decision support systems perspectives in dentistry. J Dent Educ. 2004;68:589\u201397.","journal-title":"J Dent Educ"},{"issue":"7","key":"96_CR20","first-page":"8","volume":"1","author":"N SenthilKumaran","year":"2012","unstructured":"SenthilKumaran N. Edge detection for dental x-ray image segmentation using neural network approach. Int J Comput Sci Appl (TIJCSA). 2012;1(7):8\u201313.","journal-title":"Int J Comput Sci Appl (TIJCSA)."},{"issue":"7","key":"96_CR21","first-page":"179","volume":"1","author":"N SenthilKumaran","year":"2012","unstructured":"SenthilKumaran N. Genetic algorithm approach to edge detection for dental x-ray image segmentation. Int J Adv Res Comput Sci Electron Eng (IJARCSEE). 2012;1(7):179\u201382.","journal-title":"Int J Adv Res Comput Sci Electron Eng (IJARCSEE)."},{"key":"96_CR22","unstructured":"Yang Y, Yun L, Yu-Jing L, Jian-Ming W, Dong-Hui L, We-Ping Y: Tooth decay diagnosis using back propagation neural network. In: Proceedings of 2006 international conference on machine learning and cybernetics; IEEE Press; 2006. pp. 3956\u20133959."},{"issue":"5","key":"96_CR23","first-page":"250","volume":"7","author":"AA Ainas","year":"2016","unstructured":"Ainas AA, Hazem ME, Sameh A. Detection of caries in panoramic dental X-ray images using back-propagation neural network. Int J Electron Commun Comput Eng. 2016;7(5):250\u20136.","journal-title":"Int J Electron Commun Comput Eng."},{"issue":"2","key":"96_CR24","first-page":"30","volume":"13","author":"V Geetha","year":"2019","unstructured":"Geetha V, Aprameya KS. Analysis of image segmentation techniques for diagnosis of dental caries in X-ray images. World Acad Sci Eng Technol. 2019;13(2):30\u20133.","journal-title":"World Acad Sci Eng Technol."},{"issue":"3","key":"96_CR25","first-page":"44","volume":"9","author":"V Geetha","year":"2019","unstructured":"Geetha V, Aprameya KS. Textural analysis based classification of digital X-ray images for dental caries diagnosis. Int J Eng Manuf (IJEM). 2019;9(3):44\u20135.","journal-title":"Int J Eng Manuf (IJEM)."},{"key":"96_CR26","unstructured":"Cong H, Richard D: Artificial neural networks optimization for machining of cast and forged components. In: Proceedings of the sixth international conference on manufacturing engineering, Melbouirne VIC Australia; 1995. pp. 353\u2013357."},{"key":"96_CR27","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1209\/0295-5075\/87\/58004","volume":"87","author":"DO Cajueiro","year":"2009","unstructured":"Cajueiro DO, Andrade RFS. Learning paths in complex networks. Europhys Lett. 2009;87:580\u20134.","journal-title":"Europhys Lett"},{"key":"96_CR28","doi-asserted-by":"crossref","unstructured":"Singh P, Sehgal: Automated caries detection based on Radon transformation and DCT. In: Proceedings of the 8th international conference on computing, communication and networking technologies; 2017. pp. 1\u20136.","DOI":"10.1109\/ICCCNT.2017.8204030"},{"key":"96_CR29","doi-asserted-by":"crossref","unstructured":"Li W, Kuang W, Li Y, Li YJ, Ye WP: Clinical X-ray image based tooth decay diagnosis using SVM. In: Proceedings of international conference on machine learning and cybernetics; 2007. pp. 1616\u20131619.","DOI":"10.1109\/ICMLC.2007.4370404"},{"key":"96_CR30","doi-asserted-by":"crossref","unstructured":"Prajapati SA, Nagaraj R, Suman M: Classification of dental diseases using CNN and transfer learning. In: Proceedings of the 5th international symposium on computational and business intelligence; 2017. pp. 70\u201374.","DOI":"10.1109\/ISCBI.2017.8053547"}],"container-title":["Health Information Science and Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-019-0096-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13755-019-0096-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13755-019-0096-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,2]],"date-time":"2021-01-02T00:29:24Z","timestamp":1609547364000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13755-019-0096-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,3]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["96"],"URL":"https:\/\/doi.org\/10.1007\/s13755-019-0096-y","relation":{},"ISSN":["2047-2501"],"issn-type":[{"value":"2047-2501","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,1,3]]},"assertion":[{"value":"10 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 December 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"8"}}