ToxoFundus(眼部弓形虫病眼底图像数据集)是一个专门用于研究和诊断眼部弓形虫病的高质量视网膜图像分类数据集。该数据集包含412张高分辨率彩色眼底照片,涵盖两个类别:健康眼和眼部弓形虫病,其中后者包括活动期和非活动期两种疾病形态。这些图像由三位在眼底图像诊断弓形虫感染方面具有丰富经验的眼科专家精心筛选和标注,确保了数据的准确性和可靠性。
yanjing维度 | 2D |
模态 | fundus |
任务类型 | classification |
解剖结构 | 视网膜 |
解剖区域 | 眼部 |
类别数 | 2 |
数据量 | 412 |
文件格式 | JPG |
.
├── Data_Processed_Paper
│ ├── Data_Processed_Paper
│ │ ├── Diseased
│ │ │ ├── GG_100.jpg
│ │ │ ├── GG_101.jpg
│ │ │ ├── ...
│ │ ├── .DS_Store
│ │ └── Healthy
│ │ ├── GG_10.jpg
│ │ ├── ...
│ └── .DS_Store
├── Data_Raw_6class_All
│ ├── Data_Raw_6class_All
│ │ ├── active
│ │ │ ├── 114.jpg
│ │ │ ├── 120.jpg
│ │ │ ├── ...
│ │ ├── active_active
│ │ │ └── 479.jpg
│ │ ├── active_inactive
│ │ │ ├── 101.jpg
│ │ │ ├── 104.jpg
│ │ │ ├── ...
│ │ ├── .DS_Store
│ │ ├── healthy
│ │ │ ├── 10.jpg
│ │ │ ├── 11.jpg
│ │ │ ├── ...
│ │ ├── inactive
│ │ │ ├── 100.jpg
│ │ │ ├── 102.jpg
│ │ │ ├── ...
│ │ └── inactive_inactive
│ │ └── 747.jpg
│ └── .DS_Store
└── .DS_Store
统计类型 | 间距 (mm) | 尺寸 |
---|---|---|
最小值 | - |
(1536, 1152) |
中位值 | - |
- |
最大值 | - |
(2124, 2056) |
@article{CARDOZO2023109056,
title = {Dataset of fundus images for the diagnosis of ocular toxoplasmosis},
journal = {Data in Brief},
volume = {48},
pages = {109056},
year = {2023},
issn = {2352-3409},
doi = {https://doi.org/10.1016/j.dib.2023.109056},
url = {https://www.sciencedirect.com/science/article/pii/S2352340923001749},
author = {Olivia Cardozo and Verena Ojeda and Rodrigo Parra and Julio César Mello-Román and José Luis {Vázquez Noguera} and Miguel García-Torres and Federico Divina and Sebastian A. Grillo and Cynthia Villalba and Jacques Facon and Veronica Elisa {Castillo Benítez} and Ingrid {Castro Matto} and Diego Aquino-Brítez},
keywords = {Toxoplasmosis, Coriorretinitis, Artificial intelligence},
abstract = {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.}
}