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COVIDx
Classification
Medical
|...
License: GPL-3.0

Overview

We introduce COVIDx, an open access benchmark dataset that we generated comprising of 13,975
CXR images across 13,870 patient patient cases, with the largest number of publicly available
COVID-19 positive cases to the best of the authors' knowledge.

Instruction

Citation

Please use the following citation when referencing the dataset:

@misc{wang2020covidnet,
    title={COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of
COVID-19 Cases from Chest Radiography Images},
    author={Linda Wang, Zhong Qiu Lin and Alexander Wong},
    year={2020},
    eprint={2003.09871},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

License

GPL-3.0

Data Summary
Type
Image,
Amount
13.975K
Size
5.46MB
Provided by
University of Waterloo
Waterloo is at the forefront of innovation and is home to transformational research and inspired learning. Located in the heart of Canada's technology hub, we are growing a network of global partnerships that will shape the future by working beyond disciplines and building bridges with industry, institutions and communities.
| Amount 13.975K | Size 5.46MB
COVIDx
Classification
Medical
License: GPL-3.0

Overview

We introduce COVIDx, an open access benchmark dataset that we generated comprising of 13,975
CXR images across 13,870 patient patient cases, with the largest number of publicly available
COVID-19 positive cases to the best of the authors' knowledge.

Instruction

Citation

Please use the following citation when referencing the dataset:

@misc{wang2020covidnet,
    title={COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of
COVID-19 Cases from Chest Radiography Images},
    author={Linda Wang, Zhong Qiu Lin and Alexander Wong},
    year={2020},
    eprint={2003.09871},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

License

GPL-3.0

0
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