Abstract
The distribution of nerve veins in oral and maxillofacial region is very rich and connected with many parts of the body. Once the infection occurs behind the mouth and maxilla, the effects will be widespread. Therefore, this study aims to explore the application of light enhanced medical imaging technology based on computer diagnosis in the analysis of infection factors in oral and maxillofacial surgery to improve the ability of early diagnosis and accurate treatment. The oral and maxillofacial surgical infection was recorded by using light enhanced medical imaging. The clinical data of patients were collected and analyzed, and the images were processed by computer diagnostic technology. It was found that the relaxation factor λ was 0.5 and the number of iterations was 25 times to improve the accuracy. Studies have also shown that plasma fibrin has an advantage in predicting oral infections. This study demonstrated the potential application value of light enhanced medical imaging technology based on computer diagnosis in the analysis of infection factors in oral and maxillofacial surgery. This technique is helpful for early diagnosis and accurate treatment of oral and maxillofacial surgical infection, improving the treatment effect and quality of life of patients. Further research should also consider expanding the sample size and improving the accuracy of the analysis algorithm.
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References
Agrawal, S.S., Agrawal, A.: Vision based hand gesture recognition for human computer interaction: a survey. Artif. Intell. Rev. 43(1), 1–54 (2015)
Ataide, A.P., Fonseca, F.P., Santos Silva, A.R., Jorge Junior, J., Lopes, M.A., Vargas, P.A.: Distribution of oral and maxillofacial lesions in pediatric patients from a Brazilian southeastern population. Int. J. Pediatric Otorhinolaryngol. 90, 241–244 (2016)
Chen, J., Lu Y., Yu Q. et al.: TransUNet: transformers make strong encoders for medical image segmentation. 2021, https://arxiv.org/abs/2102.04306.
Cheng, B., Fan, C., Fu, H., Huang, J., Chen, H., Luo, X.: Measuring and computing cognitive statuses of construction workers based on electroencephalogram: a critical review. IEEE Trans. Comput. Soc. Syst. 9, 1–16 (2022)
Fonseca, R., Turvey, T., Marciani, R.: Oral and Maxillofacial Surgery: Orthognathic Surgery, Esthetic Surgery, Cleft and Craniofacial Surgery. WB Saunders Co., Philadelphia (2009)
Gu, Z., Cheng, J., Fu, H., et al.: CE-net: context encoder network for 2D medical image segmentation. IEEE Trans. Med. Imaging 38(10), 2281–2292 (2019)
Isensee, F., Jaeger, P.F., Kohl, S.A.A., Petersen, J., Maier-Hein, K.H.: nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat. Methods 18(2), 203–211 (2021)
Lapthanasupkul, P., Juengsomjit, R., Klanrit, P., Taweechaisupapong, S., Poomsawat, S.: Oral and maxillofacial lesions in a thai pediatric population: a retrospective review from two dental schools. J. Med. Assoc. Thai. 98, 291–297 (2015)
Panat, S.R., et al.: Corticosteroids used in dentistry: an update. J. Dental Sci. Oral Rehabil. 5(2), 89–92 (2014)
Radiuk, P.: Applying 3D U-net architecture to the task of multi-organ segmentation in computed tomography. Appl. Comput. Syst. 25(1), 43–50 (2020)
Sanghavi, J., Aditya, A.: Applications of corticosteroids in dentistry. J. Dental Allied Sci. 4(1), 19 (2015)
Silva, L.V.O., Arruda, J.A.A., Martelli, S.J., et al.: A multicenter study of biopsied oral and maxillofacial lesions in a Brazilian pediatric population. Brazil. Oral Res. 32, e20 (2018)
Smith-Bindman, R., Kwan, M.L., Marlow, E.C., et al.: Trends in use of medical imaging in US health care systems and in Ontario, Canada, 2000–2016. JAMA 322(9), 843–856 (2019)
Wang, C., MacGillivray, T., Macnaught, G., Yang, G. and Newby, D.: A two-stage U-net model for 3D multi-class segmentation on full-resolution cardiac data. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018, Springer, Cham. Switzerland, vol. 11395, (2019)
Weng, G., Dong, B., Lei, Y.: A level set method based on additive bias correction for image segmentation. Expert Syst. Appl. 185(1–2), 115633 (2021)
Zandi, M.: The role of corticosteroids in today’s oral and maxillofacial surgery. In: Glucocorticoids-New Recognition of Our Familiar Friend. IntechOpen, London (2012)
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This paper was supported by Hospital Infection Prevention and Control Research Fund of Sichuan Provincial Preventive Medical Association (SCGK202121).
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YJ has done the first version, LP, LQ, SL, ZH and TZ has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.
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**g, Y., **, L., Qirong, L. et al. Application of computer-based diagnostic light enhanced medical imaging in the analysis of infection factors in oral and maxillofacial surgery. Opt Quant Electron 56, 349 (2024). https://doi.org/10.1007/s11082-023-06026-7
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DOI: https://doi.org/10.1007/s11082-023-06026-7