Multimodal OCTA and Fundus Image dataset for detection of Diabetic Retinopathy

This is a Multimodal OCTA and Fundus Image dataset curated for detection of Diabetic Retinopathy at Natasha Eye care and Research Institute. In all 224 images from 74 persons were captured in Version-1 and 338 images from 111 person in Version-2 Two modalities for every individual were taken simultaneously using Eidon camera for Fundus images and Optovue Avanti edition for OCTA images. we have three categories of classification in this dataset 1. NO DR 2. MILD DR 3. MODERATE DR CONSENT Forms are taken for every Individual.

Related Organizations

Symbiosis University of Applied Sciences
India

Keywords

Multimodal, OCTA, Fundus

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