Enhancing furcation involvement classification on panoramic radiographs with vision transformers

Enhancing furcation involvement classification on panoramic radiographs with vision transformers

Abstract Background The severity of furcation involvement (FI) directly affected tooth prognosis and influenced treatment approaches. However, assessing, diagnosing, and treating molars with FI was complicated by anatomical and morphological variations. Cone-beam computed tomography (CBCT) enhanced...

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Bibliographic Details
Main Authors: Xuan Zhang, Enting Guo, Xu Liu, Hong Zhao, Jie Yang, Wen Li, Wenlei Wu, Weibin Sun
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Oral Health
Subjects:
Vision transformer
Furcation involvement
Deep learning
Panoramic radiograph
Online Access:https://doi.org/10.1186/s12903-025-05431-6
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https://doi.org/10.1186/s12903-025-05431-6

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