Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement

Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement

Abstract Objectives This study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for their model generalization capabilities o...

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Main Authors: Potjanee Kanchanapiboon, Pitipat Tunksook, Prinya Tunksook, Panrasee Ritthipravat, Supatchai Boonpratham, Yodhathai Satravaha, Chaiyapol Chaweewannakorn, Supakit Peanchitlertkajorn
Format: Article
Language:English
Published: SpringerOpen 2024-09-01
Series:Progress in Orthodontics
Subjects:
Cervical vertebral maturation stages
Machine learning
Artificial intelligence
Consensus-based model
Landmark annotation
Online Access:https://doi.org/10.1186/s40510-024-00535-1
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https://doi.org/10.1186/s40510-024-00535-1

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