Thesis icon

Thesis

Aiding diagnosis of rare diseases from photographs using machine learning

Abstract:

The objective of this thesis is to further research in the field of computational syndrome diagnosis from ordinary photographs of patient faces. As well as providing insight into the phenotypic scope of specific genetic disorders, the development of such tools may eventually help to shorten the process for patients to receive a clinical diagnosis.

The success of computer vision algorithms in this domain crucially depends on sourcing large labelled data sets of patient syndrome face...

Expand abstract

Actions


Access Document


Files:

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Visual Geometry Group
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-6719-6584

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Engineering Science
Research group:
Visual Geometry Group
Oxford college:
Brasenose College
Role:
Supervisor
ORCID:
0000-0002-8945-8573
Institution:
University of Oxford
Division:
MSD
Department:
Women's & Reproductive Health
Sub department:
Women's & Reproductive Health
Research group:
Nellåker Group
Role:
Supervisor
ORCID:
0000-0002-2887-2068
Engineering and Physical Sciences Research Council More from this funder
Medical Research Council More from this funder
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP