Application of artificial intelligence-based detection of furcation involvement in mandibular first molar using cone beam tomography images- a preliminary study

Application of artificial intelligence-based detection of furcation involvement in mandibular first molar using cone beam tomography images- a preliminary study

Abstract Background Radiographs play a key role in diagnosis of periodontal diseases. Deep learning models have been explored for image analysis in periodontal diseases. However, there is lacuna of research in the deep learning model-based detection of furcation involvements [FI]. The objective of t...

Full description

Bibliographic Details
Main Authors: Shishir Shetty, Wael Talaat, Sausan AlKawas, Natheer Al-Rawi, Sesha Reddy, Zaid Hamdoon, Waad Kheder, Anirudh Acharya, Dilber Uzun Ozsahin, Leena R. David
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Oral Health
Subjects:
Furcation defects
Cone beam computed tomography
Artificial intelligence
Diagnosis
Online Access:https://doi.org/10.1186/s12903-024-05268-5

Internet

https://doi.org/10.1186/s12903-024-05268-5

Similar Items