Application of deep learning and feature selection technique on external root resorption identification on CBCT images
BackgroundArtificial 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 of combin...
Saved in:
Main Authors: | Reduwan, Nor Hidayah, Aziz, Azwatee Abdul Abdul, Razi, Roziana Mohd, Abdullah, Erma Rahayu Mohd Faizal, Nezhad, Seyed Matin Mazloom, Gohain, Meghna, Ibrahim, Norliza |
---|---|
Format: | Article |
Published: |
BioMed Central
2024
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/45600/ https://doi.org/10.1186/s12903-024-03910-w |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Three-dimensional surface area analyses of developing maxillary second premolar root apices for age estimation using CBCT images
by: Gohain, Meghna, et al.
Published: (2024) -
Validity and reliability of external apical root resorption (EARR) measurements: a 3D cone beam computed tomography (CBCT) study
by: Fazal Shahid,, et al.
Published: (2020) -
An ex vivo culture model for orthodontically induced root resorption
by: Wan Hassan, Wan Nurazreena, et al.
Published: (2012) -
External root resorption (EARR) and interleukin-1β
(rs1143634) gene polymorphism in the Bataknese
population: a pilot study
by: Bahirrah, Siti, et al.
Published: (2023) -
Association of interleukin gene polymorphism and clinical variables with external apical root resorption after initial stage of orthodontic treatment among Malay population
by: Nowrin, Shifat A
Published: (2021)