Digital Dentistry. Группа авторов

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      3 3 Nasseh, I. and Al‐Rawi, W. (2018). Cone beam computed tomography. Dent. Clin. North Am. 62 (3): 361–391.

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      17 17 Tuzoff, D.V., Tuzova, L.N., Bornstein, M.M. et al. (2019). Tooth detection and numbering in panoramic radiographs using convolutional neural networks. Dentomaxillofac. Radiol. 48 (4): 20180051.

      18 18 Lee, J.H., Kim, D.H., Jeong, S.N., and Choi, S.H. (2018). Diagnosis and prediction of periodontally compromised teeth using a deep learning‐based convolutional neural network algorithm. J. Periodontal Implant Sci. 48 (2): 114–123.

      19 19 Lee, J.H., Kim, D.H., Jeong, S.N., and Choi, S.H. (2018). Detection and diagnosis of dental caries using a deep learning‐based convolutional neural network algorithm. J. Dent. 77: 106–111.

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      26 26 de Medeiros, F.C.F.L., Kudo, G.A.H., Leme, B.G. et al. (2018). Dental implants in patients with osteoporosis: a systematic review with meta‐analysis. Int. J. Oral Maxillofac. Surg. 47: 480–491.

      27 27 Kavitha, M.S., An, S.Y., An, C.H. et al. (2015). Texture analysis of mandibular cortical bone on digital dental panoramic radiographs for the diagnosis of osteoporosis in Korean women. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. 119 (3): 346–356.

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      29 29 Tanny, L., Huang, B., Shaweesh, A., and Currie, G. (2021). Characterisation of anterior open bite in primary school‐aged children: a preliminary study with artificial neural network analysis. Int. J. Paediatr. Dent. 31 (5): 576–582.

      30 30 Auconi, P., Caldarelli, G., Scala, A. et al. (2011). A network approach to orthodontic diagnosis. Orthod. Craniofac. Res. 14 (4): 189–197.

      31 31 Kwak, G.H., Kwak, E.J., Song, J.M. et al. (2020). Automatic mandibular canal detection using a deep convolutional neural network. Sci. Rep. 10 (1): 5711.

      32 32 Xu, J., Liu, J., Zhang, D. et al. (2021). Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates. Int. J. Comput. Assist. Radiol. Surg. 16: 1785–1794.

      33 33 Kurt Bayrakdar, S., Orhan, K., Bayrakdar, I.S. et al. (2021). A deep learning approach for dental implant planning in cone‐beam computed tomography images. BMC Med. Imaging 21 (1): 86.

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