Application of deep learning and feature selection technique on external root resorption identification on CBCT images

Application of deep learning and feature selection technique on external root resorption identification on CBCT images

Abstract Background Artificial intelligence has been proven to improve the identification of various maxillofacial lesions. The aim of the current study is two-fold: to assess the performance of four deep learning models (DLM) in external root resorption (ERR) identification and to assess the effect...

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Bibliographic Details
Main Authors: Nor Hidayah Reduwan, Azwatee Abdul Abdul Aziz, Roziana Mohd Razi, Erma Rahayu Mohd Faizal Abdullah, Seyed Matin Mazloom Nezhad, Meghna Gohain, Norliza Ibrahim
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Oral Health
Subjects:
External root resorption
Cone beam computed tomography
Artificial intelligence
Deep learning
Feature selection technique
Classification
Online Access:https://doi.org/10.1186/s12903-024-03910-w

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