Skip to content

Latest commit

 

History

History
139 lines (102 loc) · 7.33 KB

Multi-LabelRetinalDiseases.md

File metadata and controls

139 lines (102 loc) · 7.33 KB

Multi-Label Retinal Diseases

Dataset Information

The Multi-Label Retinal Diseases (MuReD) dataset consists of 2,451 multi-label retinal fundus images covering 20 categories. These categories include images of Diabetic Retinopathy (DR), NORMAL images, Media Haze (MH), Optic Disc Cupping (ODC), Tessellation (TSLN), Age-Related Macular Degeneration (ARMD), Drusen (DN), Myopia (MYA), Branch Retinal Vein Occlusion (BRVO), Optic Disc Pallor (ODP), Central Retinal Vein Occlusion (CRVO), Choroidal Neovascularization (CNV), Retinitis (RS), Optic Disc Edema (ODE), Laser Scars (LS), Central Serous Retinopathy (CSR), Hypertensive Retinopathy (HTR), Arteriosclerotic Retinopathy (ASR), Chorioretinitis (CR), and Other Diseases (OTHER) images. After thorough curation and cleaning by the authors, 2,208 high-quality labeled images remained, with a default split of 1,764 images for the training set and 444 images for the validation set.

Millions of people worldwide are diagnosed with retinal diseases each year. Early diagnosis of retinal diseases can effectively prevent patients from deteriorating into permanent blindness. In recent years, artificial intelligence technologies, represented by deep learning algorithms, are actively promoting the development of medical imaging. The authors have collected several retinal disease fundus image datasets, and after strict data cleaning, obtained the MuReD dataset. They hope that this dataset can assist researchers in developing models and software for the identification of retinal diseases based on retinal fundus images, thereby aiding doctors in quickly and accurately diagnosing related diseases and analyzing treatment effectiveness.

Dataset Meta Information

Dimensions Modality Task Type Anatomical Structures Anatomical Area Number of Categories Data Volume File Format
2D Fundus photography Classification Retina Eye 20 2451 .tif, .png

Resolution Details

Dataset Statistics size
min [519,547]
median [1389,1392]
max [3925,2847]

Label Information Statistics

Acronym Full Name Training Validation Total
DR Diabetic Retinopathy 396 99 495
NORMAL Normal Retina 395 98 493
MH Media Haze 135 34 169
ODC Optic Disc Cupping 211 52 263
TSLN Tessellation 125 31 156
ARMD Age-Related Macular Degeneration 126 32 158
DN Drusen 130 32 162
MYA Myopia 71 18 89
BRVO Branch Retinal Vein Occlusion 63 16 79
ODP Optic Disc Pallor 50 12 62
CRVO Central Retinal Vein Occlusion 44 11 55
CNV Choroidal Neovascularization 48 12 60
RS Retinitis 47 11 58
ODE Optic Disc Edema 46 11 57
LS Laser Scars 37 9 46
CSR Central Serous Retinopathy 29 7 36
HTR Hypertensive Retinopathy 28 7 35
ASR Arteriosclerotic Retinopathy 26 7 33
CRS Chorioretinitis 24 6 30
OTHER Other Diseases 209 52 261

Statistical table of each label and subset of the data set.

Visualization

Diabetic Retinopathy Data Example.

Normal Data Example.

Media Haze Data Example.

Optic Disc Cupping Data Example.

Tessellation Data Example.

Age-Related Macular Degeneration Data Example.

Drusen Data Example.

File Structure

The file structure of the dataset is as follows: it includes a training set label file train_data.csv, a validation set label file val_data.csv, and a folder named images that contains all the images.

Multi-Label Retinal Diseases Dataset
├── images
│   ├── (0001)aria_d_26.tif
│   ├── (0001)aria_d_27.tif
│   ├── ...
├── train_data.csv
├── val_data.csv

Authors and Institutions

Manuel Alejandro Rodriguez Rivera (Khalifa University, United Arab Emirates)

Hasan Al-Marzouqi (Khalifa University, United Arab Emirates)

Panos Liatsis (Khalifa University, United Arab Emirates)

Source Information

Official Website: https://data.mendeley.com/datasets/pc4mb3h8hz/1

Download Link: https://prod-dcd-datasets-cache-zipfiles.s3.eu-west-1.amazonaws.com/pc4mb3h8hz-1.zip

Article Address: https://doi.org/10.48550/arXiv.2207.02335

Publication Date: 2022-07-26

Citation

@article{rodriguez2022multi,
  title={Multi-label retinal disease classification using transformers},
  author={Rodr{\'\i}guez, Manuel Alejandro and AlMarzouqi, Hasan and Liatsis, Panos},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2022},
  publisher={IEEE}
}

Original introduction article is here.