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Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements
Brenainn Woodsend
, Eirini Koufoudaki
,
Ping Lin
, Grant McIntyre
, Ahmed El-Angbawi
, Azad Aziz
, William Shaw
, Gunvor Semb
, Gowri Vijay Reesu
,
Peter A. Mossey
(Lead / Corresponding author)
Mathematics
Dentistry
Research output
:
Working paper/Preprint
›
Preprint
Overview
Fingerprint
Research Outputs
(1)
Fingerprint
Dive into the research topics of 'Development of intra-oral automated landmark recognition (ALR) for dental and occlusal outcome measurements'. Together they form a unique fingerprint.
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Keyphrases
Dental Outcomes
100%
Intraoral
100%
Occlusal Outcome
100%
Landmark Recognition
100%
Digital Model
42%
Confidence Interval
14%
Image Segmentation
14%
Digital Technology
14%
Human Teeth
14%
Cleft Palate
14%
Clinical Dentistry
14%
Dental Arch Relationship
14%
Qualitative Validation
14%
Machine Learning
14%
Automated Method
14%
Machine Learning Technology
14%
Fully Automated System
14%
Validation Phase
14%
Fully Automated Software
14%
Accuracy Validation
14%
Artificial Intelligence Learning
14%
Geometric Programming
14%
Geometric Mean Error
14%
Clinical Anthropology
14%
Medicine and Dentistry
Outcome Assessment
100%
Digital Model
100%
Clinical Dentistry
33%
Cleft Palate
33%
Neuroscience
Cleft
100%
Palate
100%
Veterinary Science and Veterinary Medicine
Dental Arch
100%
Cleft Palate
100%
Immunology and Microbiology
Teeth
100%
Palate
33%
Artificial Intelligence
33%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%