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

Published: 6 May 2022| Version 2 | DOI: 10.17632/nc5g3zs7g7.2
Contributors:
,
Mahsa Vali,
,

Description

HRCTv1-COVID-19: A High Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation from 395 patients (197 Female, 193 Male, 5 Not Specified) including 181,106 Images with four labels of diagnosis: GGO (N = 288) , Crazy Paving (N = 57) , Air Space Consolidation (N = 27) and Negative (N = 23) 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, Arak University of Medical Sciences, 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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