Dataset of fundus images for the diagnosis of ocular toxoplasmosis

• DOI: 10.1016/j.dib.2023.109056
• Publication Date: 2023-03-22T18:03:54Z
• Authors: Olivia Cardozo; Verena Ojeda; Rodrigo Parra; Julio César Mello...; José Luis Vázquez...; Miguel García-Torres; Federico Divina; Sebastian A. Grillo; Cynthia Villalba; Jacques Facon; Veronica Elisa Ca...; Ingrid Castro Matto; Diego Aquino-Brítez
• Keywords: Artificial intelligence; Q1-390; Science (General); 2.2. Ingeniería Eléctrica, Electrónica e Informática [ingeniería eléctrica, electrónica, ingeniería y sistemas de comunicación, ingeniería informática (solo equipos) y otras disciplinas afines]; Coriorretinitis; Computer applications to medicine. Medical informatics; 7. Salud; R858-859.7; 7.3. Prevención, vigilancia y control de enfermedades transmisibles y no transmisibles; Toxoplasmosis; 3. Good health; 2. Ingeniería y Tecnología

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.