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

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...

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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:
QA75 Electronic computers. Computer science
RK Dentistry
Online Access:http://eprints.um.edu.my/45600/
https://doi.org/10.1186/s12903-024-03910-w
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Institution: Universiti Malaya

Internet

http://eprints.um.edu.my/45600/
https://doi.org/10.1186/s12903-024-03910-w

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