DRTiD

We propose a new benchmark dataset, namely Diabetic Retinopathy Two-field image Dataset (DRTiD), consisting of 3,100 two-field fundus images. Two-field images contains a pair of macula-centric and optic disc-centric images. We provide annotations of DR severity grades and localization of macula & optic disc.

Related Paper

Junlin Hou, Jilan Xu, Fan Xiao, Rui-Wei Zhao, Yuejie Zhang, Haidong Zou, Lina Lu, Wenwen Xue, Rui Feng. Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE Computer Society, 2022: 985-990. [paper][arxiv]

Related Code

Source code of CrossFiT: https://github.com/FDU-VTS/DRTiD/tree/main/CrossFiT

📢📢📢 Now DRTiD is publicly available

Download Dataset

Please download the DRTiD dataset from Google or Baidu.

Get password

To get the password, an application email must be sent to jlhou18@fudan.edu.cn (Junlin Hou) with a specified form like below.

Title of Email:

DRTiD: your_organization: your_name

Body of Email:

1. Usages: Your Usages About This Data Set

2. Attachment: Please Download (GoogleDrive or Baidu), Read, Sign an EULA (please add a handwritten or electronic signature), and Attach it To Your Email.

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All images from the DRTiD dataset are of gradable quality and annotated by three experienced ophthalmologists.

We also provide the initial version, without image quality check and label re-verification by ophthalmologists. The initial labels are provided by community screening.

Dataset Structure

DRTiD
├── Original Images
└── Ground Truths
    ├── DR_grade
    │   ├── a. DR_grade_Training.csv
    │   └── b. DR_grade_Testing.csv
    └── Optic_Macula_Localization
        └──op_ma_localization.csv

Instructions

An DR open access dataset for research only.

By using the DRTiD dataset, you are obliged to reference the following paper:

@inproceedings{hou2022cross,
  title={Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images},
  author={Hou, Junlin and Xu, Jilan and Xiao, Fan and Zhao, Rui-Wei and Zhang, Yuejie and Zou, Haidong and Lu, Lina and Xue, Wenwen and Feng, Rui},
  booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  pages={985--990},
  year={2022},
  organization={IEEE Computer Society}
}