Brief Title
Pilot Study on Deep Learning in the Eye
Official Title
Validation of a Transfer Learning Deep Learning Algorithm for Image Classification in Multiple Pathologies
Brief Summary
Deep learning allows you to classify images using a self-learning algorithm. Transfer learning builds on an existing self-learning algorithm to enable image classification with fewer images. In this study, this technique will be applied to different image modalities in different syndromes. Retrospective study design.
Study Type
Observational
Primary Outcome
Validation of Image classification by transfer learning algorithm
Condition
Central Serous Chorioretinopathy
Intervention
Image classification using deep learning algorithm
Study Arms / Comparison Groups
No pathology
Description:
Publications
* Includes publications given by the data provider as well as publications identified by National Clinical Trials Identifier (NCT ID) in Medline.
Recruitment Information
Recruitment Status
Other
Estimated Enrollment
120
Start Date
February 1, 2021
Completion Date
December 1, 2022
Primary Completion Date
December 1, 2021
Eligibility Criteria
Inclusion Criteria: - Availability of images, which allow discrimination. Exclusion Criteria: - No availability of clear data on disease differentiation
Gender
All
Ages
18 Years - 100 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Contacts
, +32494354198, [email protected]
Administrative Informations
NCT ID
NCT04665102
Organization ID
IDLE1000
Responsible Party
Principal Investigator
Study Sponsor
CRG UZ Brussel
Study Sponsor
, ,
Verification Date
January 2021