A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System
Fuente:
arXiv
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| Autori principali: | , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929234673401856 |
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| author | Gua, Y. Kong, C. T. Zhangc, D. D Baid, Y. J Tsoia, J. K. H. Huangc, Hua Dengc, Y. Q. Zhue, Y. M |
| author_facet | Gua, Y. Kong, C. T. Zhangc, D. D Baid, Y. J Tsoia, J. K. H. Huangc, Hua Dengc, Y. Q. Zhue, Y. M |
| contents | AI-driven TMD diagnostic system uses AI segmentation method to diagnose Temporomandibular Joint Disorders (TMD). By using segmentation, three important parts: temporal bone, temporomandibular joint (TMJ) disc and the condyle can be identified. The location and the size of each segment are used as the basic information to determine if the patient has a high chance of having Temporomandibular Joint Disorders (TMD). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_03397 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System Gua, Y. Kong, C. T. Zhangc, D. D Baid, Y. J Tsoia, J. K. H. Huangc, Hua Dengc, Y. Q. Zhue, Y. M Quantitative Methods Image and Video Processing AI-driven TMD diagnostic system uses AI segmentation method to diagnose Temporomandibular Joint Disorders (TMD). By using segmentation, three important parts: temporal bone, temporomandibular joint (TMJ) disc and the condyle can be identified. The location and the size of each segment are used as the basic information to determine if the patient has a high chance of having Temporomandibular Joint Disorders (TMD). |
| title | A Comprehensive Approach to Diagnosing Temporomandibular Joint Diseases: AI-driven TMD Diagnostic System |
| topic | Quantitative Methods Image and Video Processing |
| url | https://arxiv.org/abs/2402.03397 |