Published February 1, 2022 | Version V0
Dataset Open

CT scans of COVID-19 patients

  • 1. University of Chemistry and Technology in Prague, Department of Computing and Control Engineering
  • 2. Charles University 3rd Faculty of Medicine, Department of Radiodiagnostics 3FM CU and UHKV

Description

Datasets contain CT scans of COVID-19 patients from Faculty hospital of Královké Vinohrady in DICOM (and TIFF) used in paper Estimation of Covid-19 lungs damage based on computer tomography images analysis presenting the tool is available on F1000reserach DOI: 10.12688/f1000research.109020.1. The tool sued for the analysis of the dataset is published in Zenodo (10.5281/zenodo.5805990). Data were anonymized before exporting. Each patient has a folder with a unique ID, subfolder contains TIFF image for reach CT slice, and whenever possible DICOM files are added. All files contain ID and data format in the name. The CT data overview is in CSV for the whole dataset.

Contributions:
Martin SCHÄTZ:       Dataset preparation and couration
Olga RUBEŠOVÁ:    Data selection and cleaning
David GIRSA:           Data measuring and selection
Katarína NAĎOVA:   Data measuring and selection

The work was funded by the Ministry of Education, Youth and Sports by grant ‘Development of Advanced Computational Algorithms for evaluating post-surgery rehabilitation’ number LTAIN19007. The work was also supported from the grant of Specific university research – grant No FCHI 2022-001.

Notes

Additional CT scans will be uploaded when available.

Files

overview.csv

Files (580.2 MB)

Name Size Download all
md5:bcd39c274bf36300093608859ea5426f
114.9 MB Download
md5:d58501ed55c1dc86389b8e96e19cfdbf
21.3 MB Download
md5:2a1869bee28b0ee8bd46e530b9ee2e68
62.5 MB Download
md5:a007c1b5bea5ad976ee15b437a33afec
254.3 MB Download
md5:16e6a399c9d77c30647d2bbf6785a58c
57.4 MB Download
md5:055c10b823f783eca8bd1678d16d539f
69.8 MB Download
md5:7a5c41e9be7aea1d51ab326467858689
177 Bytes Preview Download

Additional details

Related works

Is supplement to
Software: 10.5281/zenodo.5805990 (DOI)
Journal article: 10.12688/f1000research.109020.1 (DOI)