A critical review of artificial intelligence based techniques for automatic prediction of cephalometric landmarks
Crossref DOI link: https://doi.org/10.1007/s10462-025-11135-8
Published Online: 2025-02-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Neeraja, R.
Anbarasi, L. Jani
Funding for this research was provided by:
Vellore Institute of Technology, Chennai
Text and Data Mining valid from 2025-02-26
Version of Record valid from 2025-02-26
Article History
Accepted: 6 February 2025
First Online: 26 February 2025
Declarations
:
: The authors declare no competing interests.