Cargando…
Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis
We developed an automatic method for staging periodontitis on dental panoramic radiographs using the deep learning hybrid method. A novel hybrid framework was proposed to automatically detect and classify the periodontal bone loss of each individual tooth. The framework is a hybrid of deep learning...
Autores principales: | Chang, Hyuk-Joon, Lee, Sang-Jeong, Yong, Tae-Hoon, Shin, Nan-Young, Jang, Bong-Geun, Kim, Jo-Eun, Huh, Kyung-Hoe, Lee, Sam-Sun, Heo, Min-Suk, Choi, Soon-Chul, Kim, Tae-Il, Yi, Won-Jin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7200807/ https://www.ncbi.nlm.nih.gov/pubmed/32372049 http://dx.doi.org/10.1038/s41598-020-64509-z |
Ejemplares similares
-
Periodontal pathogens and the association between periodontitis and rheumatoid arthritis in Korean adults
por: Kim, Jin-Hee, et al.
Publicado: (2018) -
Periodontal regeneration capacity of equine particulate bone in canine alveolar bone defects
por: Kim, Tae-Il, et al.
Publicado: (2010) -
Development of animal experimental periodontitis models
por: Do, Min-Jae, et al.
Publicado: (2013) -
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
por: Jeoun, Bo-Soung, et al.
Publicado: (2022) -
SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network
por: Hwang, In-Kyung, et al.
Publicado: (2023)