Pilot Study on Deep Learning in the Eye
IDLE
Validation of a Transfer Learning Deep Learning Algorithm for Image Classification in Multiple Pathologies
1 other identifier
observational
120
0 countries
N/A
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2021
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 7, 2020
CompletedFirst Posted
Study publicly available on registry
December 11, 2020
CompletedStudy Start
First participant enrolled
February 1, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2022
CompletedJanuary 7, 2021
January 1, 2021
10 months
December 7, 2020
January 5, 2021
Conditions
Outcome Measures
Primary Outcomes (1)
Validation of Image classification by transfer learning algorithm
1 year
Study Arms (2)
No pathology
Pathology
Interventions
Image classification using deep learning algorithm
Eligibility Criteria
Healthy and non-healthy subjects: extract data out of available images
You may qualify if:
- Availability of images, which allow discrimination.
You may not qualify if:
- No availability of clear data on disease differentiation
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- CRG UZ Brussellead
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Researcher
Study Record Dates
First Submitted
December 7, 2020
First Posted
December 11, 2020
Study Start
February 1, 2021
Primary Completion
December 1, 2021
Study Completion
December 1, 2022
Last Updated
January 7, 2021
Record last verified: 2021-01
Data Sharing
- IPD Sharing
- Will not share