RT data paper
T1 Dataset of fundus images for the diagnosis of ocular toxoplasmosis
A1 Cardozo, Olivia
A1 Ojeda, Verena
A1 Parra, Rodrigo
A1 Mello Román, Julio César
A1 Vázquez Noguera, José Luis
A1 García Torres, Miguel
A1 Divina, Federico
A1 Grillo, Sebastián Alberto
A1 Villalba Cardozo, Cynthia Emilia
A1 Facon, Jacques
A1 Castillo Benítez, Verónica Elisa
A1 Castro Matto, Ingrid
A1 Aquino Brítez, Diego
A2 Universidad Americana/INCADE S.A.E
AB 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.
PB Elsevier
YR 2023
FD 2023-03-22
LK http://hdl.handle.net/20.500.14066/4538
UL http://hdl.handle.net/20.500.14066/4538
LA eng
NO Cardozo, O., Ojeda, V., Parra, R., Mello Román, J. C., Vázquez Noguera, J. L., García Torres, M., Divina, F., Grillo, S. A., Villalba, C., Facon, J., Castillo Benítez, V. e., Castro Matto, I., & Aquino Brítez, D. (2023). Dataset of fundus images for the diagnosis of ocular toxoplasmosis. Data in Brief, 48, Artículo 109056.https://doi.org/10.1016/j.dib.2023.109056
NO Corresponding author. E-mail address: mgarciat@upo.es (M. García-Torres).
NO Data accessibility.Data identification number: https://doi.org/10.5281/zenodo.4439566.Direct URL to data: https://zenodo.org/record/5156953#.YbqGF2jMKUk
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 23-abr-2025