Deep Learning for Dental Diagnosis: A Novel Approach to Furcation Involvement Detection on Periapical Radiographs

Furcation defects pose a significant challenge in the diagnosis and treatment planning of periodontal diseases. The accurate detection of furcation involvements (FI) on periapical radiographs (PAs) is crucial for the success of periodontal therapy. This research proposes a deep learning-based approa...

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Detalles Bibliográficos
Autores principales: Mao, Yi-Cheng, Huang, Yen-Cheng, Chen, Tsung-Yi, Li, Kuo-Chen, Lin, Yuan-Jin, Liu, Yu-Lin, Yan, Hong-Rong, Yang, Yu-Jie, Chen, Chiung-An, Chen, Shih-Lun, Li, Chun-Wei, Chan, Mei-Ling, Chuo, Yueh, Abu, Patricia Angela R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376376/
https://www.ncbi.nlm.nih.gov/pubmed/37508829
http://dx.doi.org/10.3390/bioengineering10070802

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10376376/
https://www.ncbi.nlm.nih.gov/pubmed/37508829
http://dx.doi.org/10.3390/bioengineering10070802

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