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

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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Bibliographic Details
Main Authors: Yi-Cheng Mao, Yen-Cheng Huang, Tsung-Yi Chen, Kuo-Chen Li, Yuan-Jin Lin, Yu-Lin Liu, Hong-Rong Yan, Yu-Jie Yang, Chiung-An Chen, Shih-Lun Chen, Chun-Wei Li, Mei-Ling Chan, Yueh Chuo, Patricia Angela R. Abu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Bioengineering
Subjects:
deep learning
periapical radiograph
furcation involvement
image segmentation
Gaussian high-pass filtering
image preprocessing
Online Access:https://www.mdpi.com/2306-5354/10/7/802

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https://www.mdpi.com/2306-5354/10/7/802

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