The accuracy of automated facial landmarking - a comparative study between Cliniface software and patch-based Convoluted Neural Network algorithm.

Journal: European journal of orthodontics

PMID: 40110937

Abstract

BACKGROUND: Automatic landmarking software packages simplify the analysis of the 3D facial images. Their main deficiency is the limited accuracy of detecting landmarks for routine clinical applications. Cliniface is readily available open-access software for automatic facial landmarking, its validity has not been fully investigated.

Authors

Bodore Al-Baker

Orthodontic Department, Hamad Dental Center, Hamad Medical Corporation, Doha, Qatar.
Xiangyang Ju

Medical Devices Unit, Department of Clinical Physics and Bioengineering, National Health Service of Greater Glasgow and Clyde, Glasgow, United Kingdom.
Peter Mossey

Dental Hospital and School, University of Dundee, Dundee, United Kingdom.
Ashraf Ayoub

Scottish Craniofacial Research Group, Glasgow University Dental Hospital & School, School of Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.

Keywords

Algorithms Anatomic Landmarks Face Female Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Male Neural Networks, Computer Photography Software

External Resources

View on PubMed Access via DOI PubMed (40110937)

The accuracy of automated facial landmarking - a comparative study between Cliniface software and patch-based Convoluted Neural Network algorithm.

Abstract

Authors

Keywords

External Resources

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