Interpretable Fundus Image Classification via Ring-Based Retinal Vasculature Features
Retinal fundus photography is widely used for screening and monitoring ocular diseases, but many modern classification pipelines rely on deep latent representations and provide limited interpretability. This study develops an interpretable fundus image classification framework based on a ring-structured representation of the retinal vasculature centered on the optic disc. The method quantifies vessel geometry, color appearance, oxygenation-related vascular appearance, and vessel--background entropy within concentric retinal regions. These physiologically motivated descriptors are derived from
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 59%Clinically aligned artificial intelligence for glaucoma diagnosis: enhancing retinal nerve fibre layer interpretation from fundus images - Nature →
- PossiblePossibly related (embedding) · 52%Multi-modal deep learning model for visual acuity prediction from wide field colour fundus imaging - Nature →
- PossiblePossibly related (embedding) · 47%Artificial Intelligence in Predicting Systemic Complications From Retinal Findings: A New Frontier in Precision Medicine - Cureus →
- FuzzySimilar title/name (fuzzy) · 59%Tongyi-MAI/Z-Image-Turbo →
“Fuzzy title match (0.73): “Interpretable Fundus Image Classification via Ring-Based Ret” ≈ “Tongyi-MAI/Z-Image-Turbo””
- FuzzyOverlapping authors or contributors · 62%microsoft/ML-For-Beginners →
“Shared author/contributor keys: gupta”
- LinkedLinked via arxiv author · 85%Xiaoyan Li →
“Interpretable Fundus Image Classification via Ring-Based Retinal Vasculature Features”
- LinkedLinked via arxiv author · 85%Shixin Xu →
“Interpretable Fundus Image Classification via Ring-Based Retinal Vasculature Features”
- LinkedLinked via arxiv author · 85%Arvind Gupta →
“Interpretable Fundus Image Classification via Ring-Based Retinal Vasculature Features”