Airogs no-batch final
About
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Image Version:
f0739d69-770d-47cd-81a0-a8c02e29eb02
Last updated:
March 4, 2022, 12:08 p.m.
Inputs:
- Color Fundus Image (Retinal color fundus image (CFI))
Outputs:
- Multiple Referable Glaucoma Likelihoods (List of values between 0 and 1 inclusive reflecting the likelihood of referable glaucoma.)
- Multiple Referable Glaucoma Binary Decisions (List of binary decisions on referable glaucoma presence)
- Multiple Ungradability Scores (List of non-thresholded scalar values that are positively correlated with the likelihood for ungradability (e.g. the entropy of a probability vector or the variance of an ensemble))
- Multiple Ungradability Binary Decisions (List of binary decisions on ungradability)
Challenge Performance
| Date | Challenge | Phase | Rank |
|---|---|---|---|
| March 4, 2022 | AIROGS | Final Test Phase | 5 |
Model Facts
Summary
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Mechanism
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Validation and Performance
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Uses and Directions
This algorithm was developed for research purposes only.
Warnings
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Common Error Messages
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Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3