DIAMOND
DIAMOND数据集专为中心性糖尿病黄斑水肿（ci-DME）预测而设计，源自MICCAI 2024挑战赛。训练集和验证集均来自深度糖尿病视网膜病变图像数据集（DeepDRiD），但仅使用超广角眼底图像部分。在本挑战赛中，若DR分级达到中度非增殖性DR或更高，则预测下次随访时将发生ci-DME事件；否则视为非ci-DME。该数据集共包含204个样本，其中训练集154例，验证集50例。
yanjing可视化图片
DIAMOND_1.webp
DIAMOND_0.png
数据集元信息
| 维度 | 2D |
| 模态 | fundus |
| 任务类型 | prognosis |
| 解剖结构 | 眼部 |
| 解剖区域 | 头颈部 |
| 类别数 | 52 |
| 数据量 | 154(训练)+50(验证) |
| 文件格式 | JPG |
文件结构
.
└── ultra-widefield_images
├── Online-Challenge3-Evaluation
│ ├── Challenge3_upload.csv
│ ├── Challenge3_labels.xlsx
│ ├── Images
│ └── Readme.docx
├── ultra-widefield-training
│ ├── Images
│ ├── Readme.txt
│ └── ultra-widefield-training.csv
└── ultra-widefield-validation
├── Images
├── Readme.txt
└── ultra-widefield-validation.csv图像尺寸统计
| 统计类型 | 间距 (mm) | 尺寸 |
|---|---|---|
| 最小值 | - |
(3900, 3072) |
| 中位值 | - |
(3900, 3072) |
| 最大值 | - |
(3900, 3072) |
引用
@article{LIU2022100512,
title = {DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Estimation Challenge},
journal = {Patterns},
pages = {100512},
year = {2022},
issn = {2666-3899},
doi = {https://doi.org/10.1016/j.patter.2022.100512},
url = {https://www.sciencedirect.com/science/article/pii/S2666389922001040},
author = {Ruhan Liu and Xiangning Wang and Qiang Wu and Ling Dai and Xi Fang and Tao Yan and Jaemin Son and Shiqi Tang and Jiang Li and Zijian Gao and Adrian Galdran and J.M. Poorneshwaran and Hao Liu and Jie Wang and Yerui Chen and Prasanna Porwal and Gavin Siew {Wei Tan} and Xiaokang Yang and Chao Dai and Haitao Song and Mingang Chen and Huating Li and Weiping Jia and Dinggang Shen and Bin Sheng and Ping Zhang},
keywords = {diabetic retinopathy, screening, deep learning, artificial intelligence, challenge, retinal image, image quality analysis, ultra-widefield, fundus image},
}