A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos

Routine dental visit is the most common approach to detect the gingivitis. However, such diagnosis can sometimes be unavailable due to the limited medical resources in certain areas and costly for low-income populations. This study proposes to screen the existence of gingivitis and its irritants, i....

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Detalles Bibliográficos
Autores principales: Li, Wen, Liang, Yuan, Zhang, Xuan, Liu, Chao, He, Lei, Miao, Leiying, Sun, Weibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376991/
https://www.ncbi.nlm.nih.gov/pubmed/34413332
http://dx.doi.org/10.1038/s41598-021-96091-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376991/
https://www.ncbi.nlm.nih.gov/pubmed/34413332
http://dx.doi.org/10.1038/s41598-021-96091-3

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