Status:
COMPLETED
Diagnostic Efficacy of CNN in Differentiation of Visual Field
Lead Sponsor:
Sun Yat-sen University
Conditions:
Diagnositic Efficacy of Deep Convolutional Neural Network in Differentiation of Glaucoma Visual Field From Non-glaucoma Visual Field
Eligibility:
All Genders
18+ years
Brief Summary
Glaucoma is currently the leading cause of irreversible blindness in the world. The multi-center study is designed to evaluate the efficacy of the convolutional neural network based algorithm in diffe...
Detailed Description
Glaucoma is the world's leading cause of irreversible blind, characterized by progressive retinal nerve fiber layer thinning and visual field defects. Visual field test is one of the gold standards fo...
Eligibility Criteria
Inclusion
- Age≥18;
- Informed consent obtained;
- Diagnosed with specific ocular diseases;
- Able to perform visual field test
Exclusion
- Incomplete clinical data to support diagnosis
Key Trial Info
Start Date :
March 15 2019
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
December 31 2019
Estimated Enrollment :
437 Patients enrolled
Trial Details
Trial ID
NCT03759483
Start Date
March 15 2019
End Date
December 31 2019
Last Update
January 27 2020
Active Locations (1)
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1
Zhongshan Ophthalmic Center
Guangzhou, Guangdong, China, 51000