Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement
ML models trained on consensus-based datasets for CVMS classification exhibited the highest accuracy, with significant features consistent with the original CVMS guidelines. These models also showed robust generalization capabilities, underscoring the importance of dataset quality.
Authors
- Potjanee Kanchanapiboon (ORCID: https://orcid.org/0000-0001-9586-6066)
- Supakit Peanchitlertkajorn (ORCID: https://orcid.org/0000-0001-7615-6376)
- Supatchai Boonpratham (ORCID: https://orcid.org/0000-0002-5731-4022)
- Chaiyapol Chaweewannakorn (ORCID: https://orcid.org/0000-0001-9290-2674)
- Yodhathai Satravaha
- Panrasee Ritthipravat (ORCID: https://orcid.org/0000-0002-1527-4587)
- Pitipat Tunksook
- Prinya Tunksook
Institutions
- Siriraj Hospital (TH)
- Mahidol University (TH)
Publication Details
- Journal
- Progress in Orthodontics
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s40510-024-00535-1
- Citations
- 3
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- Mahidol University