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penway47/
EFIQA

Name: EFIQA
Availability: InStock

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EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors

We ground fundus quality assessment in anatomical integrity rather than subjective labels, enabling an unsupervised approach with spatial explainability and robust cross-dataset generalization.

Currently under review in MIDL2026: https://openreview.net/forum?id=b9TBF3O88T

Code

Currently you can access on GitHub https://github.com/penway/EFIQA.

Inference

Test our model directly online at: https://huggingface.co/spaces/penway47/EFIQA. You can also download script and weight there.