用于眼部弓形虫病诊断的眼底图像数据集。
Dataset of fundus images for the diagnosis of ocular toxoplasmosis.
作者信息
Cardozo Olivia, Ojeda Verena, Parra Rodrigo, Mello-Román Julio César, Vázquez Noguera José Luis, García-Torres Miguel, Divina Federico, Grillo Sebastian A, Villalba Cynthia, Facon Jacques, Castillo Benítez Veronica Elisa, Castro Matto Ingrid, Aquino-Brítez Diego
机构信息
Department of Ophthalmology, Hospital General Pediátrico Niños de Acosta Ñu, Paraguay.
Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.
出版信息
Data Brief. 2023 Mar 22;48:109056. doi: 10.1016/j.dib.2023.109056. eCollection 2023 Jun.
Toxoplasmosis chorioretinitis is commonly diagnosed by an ophthalmologist through the evaluation of the fundus images of a patient. Early detection of these lesions may help to prevent blindness. In this article we present a data set of fundus images labeled into three categories: healthy eye, inactive and active chorioretinitis. The dataset was developed by three ophthalmologists with expertise in toxoplasmosis detection using fundus images. The dataset will be of great use to researchers working on ophthalmic image analysis using artificial intelligence techniques for the automatic detection of toxoplasmosis chorioretinitis.
弓形虫性脉络膜视网膜炎通常由眼科医生通过评估患者的眼底图像来诊断。早期发现这些病变可能有助于预防失明。在本文中，我们展示了一个眼底图像数据集，该数据集被标记为三类：健康眼睛、非活动性和活动性脉络膜视网膜炎。该数据集由三位在利用眼底图像进行弓形虫病检测方面具有专业知识的眼科医生开发。该数据集对于使用人工智能技术进行眼科图像分析以自动检测弓形虫性脉络膜视网膜炎的研究人员将非常有用。
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