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Deep learning methods for pediatric middle ear diagnostics
Sundgaard, Josefine Vilsbøll
(PhD Student)
Reyes, Mauricio
(Examiner)
Paulsen, Rasmus Reinhold
(Main Supervisor)
Christensen, Anders Nymark
(Supervisor)
Laugesen, Søren
(Supervisor)
Dyrby, Tim Bjørn
(Examiner)
Østergaard, Lasse Riis
(Examiner)
Danish Offshore Technology Centre
Visual Computing
Department of Applied Mathematics and Computer Science
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/05/2019
→
12/09/2022
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Diagnosis
Medicine and Dentistry
100%
Middle Ear
Medicine and Dentistry
100%
Pediatrics
Medicine and Dentistry
100%
Otitis Media
Medicine and Dentistry
100%
Otoscopy
Medicine and Dentistry
42%
Tympanometry
Medicine and Dentistry
42%
Secretory Otitis Media
Medicine and Dentistry
28%
Eardrum
Medicine and Dentistry
28%
Research output
Publications per year
2022
2022
2022
1
Ph.D. thesis
Publications per year
Publications per year
Deep learning methods for pediatric middle ear diagnostics
Sundgaard, J. V.
,
2022
,
Technical University of Denmark
.
132 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Diagnosis
100%
Middle Ear
100%
Otitis Media
100%
Pediatrics
100%
Otoscopy
42%
211
Downloads (Pure)