COVID-CT
Classification
Medical
|...
许可协议: Unknown

Overview

The COVID-CT-Dataset has 349 CT images containing clinical findings of COVID-19 from 216 patients. They are in ./Images-processed/CT_COVID.zip

Non-COVID CT scans are in ./Images-processed/CT_NonCOVID.zip

We provide a data split in ./Data-split. Data split information see README for DenseNet_predict.md

The meta information (e.g., patient ID, patient information, DOI, image caption) is in COVID-CT-MetaInfo.xlsx

The images are collected from COVID19-related papers from medRxiv, bioRxiv, NEJM, JAMA, Lancet, etc. CTs containing COVID-19 abnormalities are selected by reading the figure captions in the papers. All copyrights of the data belong to the authors and publishers of these papers.

Data Preview

Label Distribution

Citation

Please use the following citation when referencing the dataset:

@article{zhao2020COVID-CT-Dataset,
  title={COVID-CT-Dataset: a CT scan dataset about COVID-19},
  author={Zhao, Jinyu and Zhang, Yichen and He, Xuehai and Xie, Pengtao},
  journal={arXiv preprint arXiv:2003.13865},
  year={2020}
}
数据概要
数据格式
Image,
数据量
746
文件大小
370.82MB
发布方
UCSD
At the University of California San Diego, we prefer the path less traveled. And it has led us to remarkable new ways of seeing and making a difference in the world.
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