COVIDx
Classification
Medical
|...
许可协议: 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

数据概要
数据格式
Image,
数据量
13.975K
文件大小
5.46MB
发布方
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.
数据集反馈
| 645 | 数据量 13.975K | 大小 5.46MB
COVIDx
Classification
Medical
许可协议: 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

数据集反馈
0
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