Deep learning for categorization of endodontic lesion based on radiographic periapical index scoring system
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Dentistry
Link
https://link.springer.com/content/pdf/10.1007/s00784-021-04043-y.pdf
Reference33 articles.
1. Ørstavik D, Kerekes K, Eriksen HM (1986) The periapical index: a scoring system for radiographic assessment of apical periodontitis. Dent Traumatol 2:20–34
2. Eriksen HM, Bjertness E (1991) Prevalence of apical periodontitis and results of endodontic treatment in middle-aged adults in Norway. Dent Traumatol 7:1–4
3. Gumru B, Tarcin B, Pekiner FN, Ozbayrak S (2011) Retrospective radiological assessment of root canal treatment in young permanent dentition in a Turkish subpopulation: root fillings in young permanent teeth. Int Endod J 44:850–856
4. Kirkevang LL, Ørstavik D, Bahrami G, Wenzel A, Vaeth M (2017) Prediction of periapical status and tooth extraction. Int Endod J 50:5–14
5. Tarcin B, Gumru B, Iriboz E, Turkaydin DE, Ovecoglu HS (2015) Radiologic assessment of periapical health: comparison of 3 different index systems. J Endod 41:1834–1838
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