HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis
Journal:
arXiv
Published Date:
May 7, 2025
Abstract
The Hillel Yaffe Age Related Macular Degeneration (HYAMD) dataset is a
longitudinal collection of 1,560 Digital Fundus Images (DFIs) from 325 patients
examined at the Hillel Yaffe Medical Center (Hadera, Israel) between 2021 and
2024. The dataset includes an AMD cohort of 147 patients (aged 54-94) with
varying stages of AMD and a control group of 190 diabetic retinopathy (DR)
patients (aged 24-92). AMD diagnoses were based on comprehensive clinical
ophthalmic evaluations, supported by Optical Coherence Tomography (OCT) and OCT
angiography. Non-AMD DFIs were sourced from DR patients without concurrent AMD,
diagnosed using macular OCT, fluorescein angiography, and widefield imaging.
HYAMD provides gold-standard annotations, ensuring AMD labels were assigned
following a full clinical assessment. Images were captured with a DRI OCT
Triton (Topcon) camera, offering a 45 deg field of view and 1960 x 1934 pixel
resolution. To the best of our knowledge, HYAMD is the first open-access
retinal dataset from an Israeli sample, designed to support AMD identification
using machine learning models.
