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CT Image in COVID-19
创建来自Hello Dataset / Robert
概要
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Overview

We present a new dataset, CT Image in COVID-19. During the COVIA-9 epidemic, the detection and segmentation of COVID-19 is very urgent. This data set can help researchers improve the accuracy of detection and segmentation.

This retrospective NIfTI image dataset consists of unenhanced chest CTs from 632 patients with COVID-19 infections. The images were acquired at the point of care in an outbreak setting from patients with Reverse Transcription Polymerase Chain Reaction (RT-PCR) confirmation for the presence of SARS-CoV-2.

Patients presented to a health care setting with a combination of symptoms, exposure to an infected patient, or travel history to an outbreak region. All patients had a positive RT-PCR for SARS-CoV-2 from a sample obtained within 1 day of the initial CT. CT exams were performed without intravenous contrast and with a soft tissue reconstruction algorithm. The DICOM images were subsequently converted into NIfTI format.

Citation

@misc{TCIA COVID-19 Datasets,
author={An P and Xu S and Harmon SA and Turkbey EB and Sanford TH and Amalou A
and Kassin M and Varble N and Blain M and Anderson V and Patella F
and Carrafiello G and Turkbey BT and Wood BJ},
title={CT Images in Covid-19 [Data set]},
year={2020},
howpublished= {\url{https://doi.org/10.7937/tcia.2020.gqry-nc81}}
}
@Article{Clark2013,
author={Clark, Kenneth and Vendt, Bruce and Smith, Kirk and Freymann, John and Kirby, Justin
and Koppel, Paul and Moore, Stephen and Phillips, Stanley and Maffitt, David
and Pringle, Michael and Tarbox, Lawrence and Prior, Fred},
title={The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository},
journal={Journal of Digital Imaging},
year={2013},
month={Dec},
day={01},
volume={26},
number={6},
pages={1045-1057},
issn={1618-727X},
doi={10.1007/s10278-013-9622-7},
url={https://doi.org/10.1007/s10278-013-9622-7}
}

License

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数据集信息
应用场景Medical
标注类型No Label
LicenseCustom
更新时间2021-03-24 22:53:38
数据概要
数据格式Image
数据数量0
文件大小11MB
标注数量0
版权归属方
The Cancer Imaging Archive (TCIA)
标注方
未知
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