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COVIDGR

Dataset Information

This part is introduction and summarization of the dataset.

Dataset Meta Information

Dimensions Modality Task Type Anatomical Structures Anatomical Area Number of Categories Data Volume File Format
2D X Ray Classification Lung Chest 2 852 JPG

Resolution Details

Dataset Statistics size
min [534,224]
median [2728,2563]
max [3000,3000]

Label Information Statistics

Class Number
Positive 426
Negative 426

Visualization

Example images of negative cases.

Example images of positive cases.

File Structure

The dataset file structure is as follows, including one README.md file, one metafile.yaml file containing more basic information about the dataset, and folders that separately store images of two categories.

COVIDGR
├── raw
│   ├──N
│   │   ├── 0b54ce0c4f7f6ea5862f75c1d1d33311.jpg
│   │   ├── 0c059d97a821616bef37761cce4138e5.jpg
│   │   ├── ...
│   ├──P
│   │   ├── 00b05aa3cb325265b9ded3f1a9f704c8.jpg
│   │   ├── 00f9707e0de334db70a7924a9de98368.jpg
│   │   ├── ...
├── README.md
├── metafile.yaml

Authors and Institutions

S. Tabik (Spain, University of Granada)

A. Gómez-Ríos (Spain, University of Granada)

J.L. Martín-Rodríguez(Spain, Hospital Universitario Clínico)

I. Sevillano-García (Spain, University of Granada)

M. Rey-Area (Spain, University of Vigo)

D. Charte (Spain, University of Granada)

E. Guirado (Spain, University of Alicante)

J.L. Suárez (Spain, University of Granada)

J. Luengo (Spain, University of Granada)

M.A. Valero-González(Spain, Hospital Universitario Clínico)

P. García-Villanova(Spain, Hospital Universitario Clínico)

E. Olmedo-Sánchez(Spain, Hospital Universitario Clínico)

F. Herrera (Spain, University of Granada)

Source Information

Official Website: https://github.com/ari-dasci/covidgr

Download Link: https://github.com/ari-dasci/covidgr, https://opendatalab.com/OpenDataLab/COVIDGR

Article Address: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9254002

Publication Date: 2020-12-04

Citation

@article{tabik2020covidgr,
 title={COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on chest X-ray images},
 author={Tabik, Siham and G{\'o}mez-R{\'\i}os, Anabel and Mart{\'\i}n-Rodr{\'\i}guez, Jos{\'e} Luis and Sevillano-Garc{\'\i}a, Iv{\'a}n and Rey-Area, Manuel and Charte, David and Guirado, Emilio and Su{\'a}rez, Juan-Luis and Luengo, Juli{\'a}n and Valero-Gonz{\'a}lez, MA and others},
 journal={IEEE journal of biomedical and health informatics},
 volume={24},
 number={12},
 pages={3595--3605},
 year={2020},
 publisher={IEEE}
 }

Original introduction article is here.