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用于糖尿病视网膜病变研究的眼底图像数据集。

Dataset from fundus images for the study of diabetic retinopathy.

作者信息

Castillo Benítez Veronica Elisa, Castro Matto Ingrid, Mello Román Julio César, Vázquez Noguera José Luis, García-Torres Miguel, Ayala Jordan, Pinto-Roa Diego P, Gardel-Sotomayor Pedro E, Facon Jacques, Grillo Sebastian Alberto

机构信息

Department of Ophthalmology, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.

Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.

出版信息

Data Brief. 2021 Apr 21;36:107068. doi: 10.1016/j.dib.2021.107068. eCollection 2021 Jun.

Abstract

This article presents a database containing 757 color fundus images acquired at the Department of Ophthalmology of the Hospital de Clínicas, Facultad de Ciencias Médicas (FCM), Universidad Nacional de Asunción (UNA), Paraguay. Firstly, the retinal images were acquired with a clinical procedure presented in this paper. The acquisition of the retinographies was made through the Visucam 500 camera of the Zeiss brand. Next, two expert ophthalmologists have classified the dataset. These data can help physicians and researchers in the detection of cases of Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR), in their different stages. The dataset generated will be useful for ophthalmologists and researchers to work on automatic detection algorithms for Diabetic Retinopathy (DR).

摘要

本文展示了一个数据库,其中包含在巴拉圭亚松森国立大学医学科学学院临床医院眼科采集的757张彩色眼底图像。首先,视网膜图像是通过本文介绍的临床程序采集的。视网膜造影是通过蔡司品牌的Visucam 500相机进行采集的。接下来,两位眼科专家对该数据集进行了分类。这些数据可以帮助医生和研究人员在不同阶段检测非增殖性糖尿病视网膜病变(NPDR)和增殖性糖尿病视网膜病变(PDR)病例。生成的数据集将有助于眼科医生和研究人员研究糖尿病视网膜病变(DR)的自动检测算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9762/8257963/3c7f3fe5c407/gr1.jpg

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