Automated detection of Polypoidal Choroidal Vasculopathy in spectral domain optical coherence tomography using deep learning algorithm
Not Applicable
Recruiting
- Conditions
- patients whose diagnosed polypoidal choroidal vasculopathyPCV,serosanguinous maculopathy
- Registration Number
- TCTR20200814007
- Lead Sponsor
- The Thailand Research Fund (TRF)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 500
Inclusion Criteria
patients diagnosed as PCV who came to outpatient department in Siriraj hospital
Exclusion Criteria
Poor quality fundus photo from diabetes patient
Inconclusive clinical diagnosis
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method accuracy of automated algorithm for detection polypoidal choroidal vasculopathy by macular OCT at the time of investigation sensitivity, specificity, precision, accuracy
- Secondary Outcome Measures
Name Time Method Program validation at the end of investigation accuracy