A deep learning approach to automatic gingivitis screening based on classification and localization in RGB photos
Abstract 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 irri...
Guardado en:
Autores principales: | Wen Li, Yuan Liang, Xuan Zhang, Chao Liu, Lei He, Leiying Miao, Weibin Sun |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bce3d4bc42a24994b1cf0e1973c1aabb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Automatic Detection and Classification of Cough Events Based on Deep Learning
por: Hossein Tabatabaei Seyed Amir, et al.
Publicado: (2020) -
Automatic classification of canine thoracic radiographs using deep learning
por: Tommaso Banzato, et al.
Publicado: (2021) -
Explainable identification and mapping of trees using UAV RGB image and deep learning
por: Masanori Onishi, et al.
Publicado: (2021) -
Robust seed germination prediction using deep learning and RGB image data
por: Yuval Nehoshtan, et al.
Publicado: (2021) -
Automatic classification and segmentation of single-molecule fluorescence time traces with deep learning
por: Jieming Li, et al.
Publicado: (2020)