NCT04665102UnknownNot Applicable
Validation of a Transfer Learning Deep Learning Algorithm for Image Classification in Multiple Pathologies
CRG UZ Brussel0 sites120 target enrollmentStarted: February 1, 2021Last updated:
Conditions
Trial Snapshot
- Phase
- Not Applicable
- Sponsor
- Enrollment
- 120
- Primary Endpoint
- Validation of Image classification by transfer learning algorithm
Study Overview
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 Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 18 Years to 100 Years (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Availability of images, which allow discrimination.
Exclusion Criteria
- •No availability of clear data on disease differentiation
Outcomes
Primary Outcomes
Validation of Image classification by transfer learning algorithm
Time Frame: 1 year
Secondary Outcomes
No secondary outcomes reported
Investigators
Pieter Nelis
Researcher
CRG UZ Brussel
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