A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction

A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction

Abstract This paper introduces mBRSET, the first publicly available diabetic retinopathy retina dataset captured using handheld retinal cameras in real-life, high-burden scenarios, comprising 5,164 images from 1,291 patients of diverse backgrounds. This dataset addresses the lack of ophthalmological...

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Bibliographic Details
Main Authors: Chenwei Wu, David Restrepo, Luis Filipe Nakayama, Lucas Zago Ribeiro, Zitao Shuai, Nathan Santos Barboza, Maria Luiza Vieira Sousa, Raul Dias Fitterman, Alexandre Durao Alves Pereira, Caio Vinicius Saito Regatieri, Jose Augusto Stuchi, Fernando Korn Malerbi, Rafael E. Andrade
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-04627-3
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