Ocular Toxoplasmosis Fundus Images Dataset
- 1. Universidad Americana, Asunción, Paraguay
- 2. Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain
- 3. Facultad de Ciencias Exactas y Tecnológicas, Universidad Nacional de Concepción, Concepción, Paraguay
- 4. Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay
- 5. Universidade Federal do Espírito Santo, Brazil
- 6. Department of Ophthalmology, Hospital General Pediátrico Niños de Acosta Ñu, Paraguay
- 7. Departamento de Retina, Cátedra de Oftalmología, Hospital de Clínicas, Facultad de Ciencias Médicas, Universidad Nacional de Asunción, San Lorenzo, Paraguay
Description
The Ocular Toxoplasmosis (OT) Fundus Images Dataset contains a set of eye images collected at the Hospital de Clínicas medical center from Asunción, Paraguay.
The dataset is used in the generation of models for automatic detection of ocular toxoplasmosis. Used as a tool for OT diagnosis, a predictive model could save time, help diagnose atypical cases and also assist ophthalmologists, being particularly useful for those with less experience.
Dataset structure:
+-- Ocular_Toxoplasmosis_Data
| +-- masks
| +-- images
| +-- classification
| +-- healthy
| +-- non_healthy
| +-- dataset_labels.csvThe dataset contains two major folders, one with all the collected images and another one with the masks for lesions of eyes images with ocular toxoplasmosis. The classification folder contains the healthy images and non healthy images. The non healthy set contains images with both active and inactive lesions caused by ocular toxoplasmosis. Finally, it also includes a csv file with the labels for each image.