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eess.IV2024★ 8 cited
Federated Learning for Diabetic Retinopathy Diagnosis: Enhancing Accuracy and Generalizability in Under-Resourced Regions
Gajan Mohan Raj, Michael G. Morley, Mohammad Eslami
Diabetic retinopathy is the leading cause of vision loss in working-age adults worldwide, yet under-resourced regions lack ophthalmologists. Current state-of-the-art deep learning…
eess.IV2024★ 5 cited
A Spatiotemporal Illumination Model for 3D Image Fusion in Optical Coherence Tomography
Stefan Ploner, Jungeun Won, Julia Schottenhamml +5
Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequent…