Localization Improvements in Faster Residual Convolutional Neural Network Model for Temporomandibular Joint – Osteoarthritis Detection
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48774-3_19
Reference20 articles.
1. Covert, L., Mater, H.V., Hechler, B.L.: Comprehensive management of rheumatic diseases affecting the temporomandibular joint. Diagnostics. 11(3), 409 (2021). https://doi.org/10.3390/diagnostics11030409
2. Piancino, M.G., et al.: Cranial structure and condylar asymmetry of patients with juvenile idiopathic arthritis: a risky growth pattern. Clin. Rheumatol. 37(10), 2667–2673 (2018). https://doi.org/10.1007/s10067-018-4180-5
3. Han, M.D., Lieblich, S.E.: Anatomy and pathophysiology of the temporomandibular joint. In: Michael Miloro, G.E., Ghali, P.E., Larsen, P.W. (eds.) Peterson’s Principles of Oral and Maxillofacial Surgery, pp. 1535–1550. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-91920-7_51
4. Tsai, C.M., Wu, F.Y., Chai, J.W., Chen, M.H., Kao, C.T.: The advantage of cone-beam computerized tomography over panoramic radiography and temporomandibular joint quadruple radiography in assessing temporomandibular joint osseous degenerative changes. J. Dental Sci. 15(2), 153–162 (2020). https://doi.org/10.1016/j.jds.2020.03.004
5. Heo, M.S., et al.: Artificial intelligence in oral and maxillofacial radiology: what is currently possible? Dentomaxillofacial Radiol. 50(3), 1–13 (2021). https://doi.org/10.1259/dmfr.20200375
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