Ocular Toxoplasmosis Fundus Images Dataset

The <strong>Ocular Toxoplasmosis (OT) Fundus Images Dataset</strong> contains a set of eye images collected at the <em>Hospital de Clínicas</em> 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: <pre><code>+-- Ocular_Toxoplasmosis_Data | +-- masks | +-- images | +-- classification | +-- healthy | +-- non_healthy | +-- dataset_labels.csv</code></pre> The 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 <strong>healthy</strong> images and <strong>non healthy</strong> images. The non healthy set contains images with both active and inactive lesions caused by ocular toxoplasmosis. Finally, it also includes a <strong>csv</strong> file with the labels for each image.**眼弓形体病（Ocular Toxoplasmosis, OT）眼底图像数据集**收录了来自巴拉圭亚松森临床医院（Hospital de Clínicas）采集的眼部图像集合，该数据集旨在用于构建眼弓形体病自动检测模型。作为眼弓形体病诊断辅助工具，此类预测模型可有效节省诊断时间、辅助识别非典型病例，并为眼科医师提供诊疗支持，尤其对经验尚浅的从业者颇具实用价值。 数据集目录结构如下： +-- Ocular_Toxoplasmosis_Data | +-- masks | +-- images | +-- classification | | +-- healthy | | +-- non_healthy | +-- dataset_labels.csv 该数据集包含两大核心文件夹：其一收录全部采集到的眼部图像，其二包含眼弓形体病患者眼部病变区域的掩码图像。分类文件夹下设**健康**与**非健康**两个子文件夹，其中非健康子集涵盖了存在眼弓形体病活动性与非活动性病灶的图像。此外，数据集还附带一份`dataset_labels.csv`文件，用于记录每张图像的对应标签。