Artificial intelligence-driven novel tool for tooth detection and segmentation on panoramic radiographs
Author:
Funder
Fundação de Apoio à Pesquisa do Distrito Federal
Publisher
Springer Science and Business Media LLC
Subject
General Dentistry
Link
https://link.springer.com/content/pdf/10.1007/s00784-020-03544-6.pdf
Reference32 articles.
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3. Jacobs R, Quirynen M (2014) Dental cone beam computed tomography: justification for use in planning oral implant placement. Periodontol 2000 66(1):203–213. https://doi.org/10.1111/prd.12051
4. Lin PL, Huang PY, Huang PW, Hsu HC, Chen CC (2014) Teeth segmentation of dental periapical radiographs based on local singularity analysis. Comput Methods Prog Biomed 113(2):433–445. https://doi.org/10.1016/j.cmpb.2013.10.015
5. Vinayahalingam S, Xi T, Bergé S, Maal T, de Jong G (2019) Automated detection of third molars and mandibular nerve by deep learning. Sci Rep 9(1):9007. https://doi.org/10.1038/s41598-019-45487-3
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