HRCTv1-COVID-19: A High Resolution Chest CT-Scan Image Dataset of Chest for COVID-19 Diagnosis and Differentiation

Published: 5 May 2022| Version 1 | DOI: 10.17632/nc5g3zs7g7.1
Contributors:
iraj abedi, Mahsa Vali, Bentolhoda Otroshi Shahreza, Hamidreza Bolhasani

Description

HRCTv1-COVID-19: A High Resolution Chest CT-Scan Image Dataset for COVID-19 Diagnosis and Differentiation from 395 patients (207 Female and 205 Male), 181,106 Images with three labels of diagnosis: GGO (288 cases) , Crazy Paving (57 cases) and Air Space Consolidation (27 cases). There are also 23 cases with Negative diagnosis. *Note: Since the volume of the image dataset is about 18 GB but Mendeley Data storage capacity was 10 GB, I've uploaded the image folders on Google Drive and shared the related links in the files below.*

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Institutions

  • Isfahan University of Technology
  • Isfahan University of Medical Sciences
  • Islamic Azad University Science and Research Branch

Categories

Chest, Chest Imaging, Computed Tomography, Computed Tomography of Chest, Radiography of Chest, Chest Radiology, COVID-19

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