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COVID-chestxray
创建来自Hello Dataset / Robert
概要
代码
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Overview

Project Summary: To build a public open dataset of chest X-ray and CT images of patients which are positive or suspected of COVID-19 or other viral and bacterial pneumonias (MERS, SARS, and ARDS.). Data will be collected from public sources as well as through indirect collection from hospitals and physicians. All images and data will be released publicly in this GitHub repo.

Data Annotation

Lung Bounding Boxes (license: CC BY-SA) contributed by Andrew Gough at General Blockchain, Inc.

Pneumonia severity scores for 94 images (license: CC BY-SA) from the paper Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

Generated Lung Segmentations (license: CC BY-SA) from the paper Lung Segmentation from Chest X-rays using Variational Data Imputation

Brixia score for 192 images (license: CC BY-NC-SA) from the paper End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays

Lung and other segmentations for 517 images (license: CC BY) in COCO and raster formats by v7labs

Citation

Please use the following citation when referencing the dataset:

@article{cohen2020covidProspective,
  title={COVID-19 Image Data Collection: Prospective Predictions Are the Future},
  author={Joseph Paul Cohen and Paul Morrison and Lan Dao and Karsten Roth and Tim Q Duong
and Marzyeh Ghassemi},
  journal={arXiv 2006.11988},
  url={https://github.com/ieee8023/covid-chestxray-dataset},
  year={2020}
}

License

CC BY-NC-SA 4.0

数据集信息
应用场景Medical
标注类型Classification
LicenseCC BY-NC-SA 4.0
更新时间2021-03-24 22:48:10
数据概要
数据格式Image
数据数量0
已标注数量0
文件大小404KB
版权归属方
Joseph Paul Cohen.
标注方
未知
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