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Thesis

Facial detection of genetic disorders

Abstract:

An estimated 400,000 children are born every year with rare genetic disorders that significantly affect their quality of life. Early detection and intervention can significantly improve the quality of life of these children. Craniofacial characteristics contain highly useful information for clinical geneticists for diagnosis. This thesis investigates the use of computer vision to aid in the automatic detection of genetic disorders from ordinary facial photographs. This is a non-trivial tas...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Visual Geometry Group
Oxford college:
Lady Margaret Hall
Role:
Author

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Visual Geometry Group
Role:
Supervisor
ORCID:
0000-0002-8945-8573
Role:
Supervisor
ORCID:
0000-0002-2887-2068
Engineering and Physical Sciences Research Council More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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