Extensive and Augmented COVID-19 X-Ray and CT Chest Images Dataset

Published: 5 June 2020| Version 1 | DOI: 10.17632/8h65ywd2jr.1
Contributors:
Walid El-Shafai,

Description

This COVID-19 dataset consists of Non-COVID and COVID cases of both X-ray and CT images. The associated dataset is augmented with different augmentation techniques to generate about 17100 X-ray and CT images. The dataset contains two main folders, one for the X-ray images, which includes two separate sub-folders of 5500 Non-COVID images and 4045 COVID images. The other folder contains the CT images. It includes two separate sub-folders of 2628 Non-COVID images and 5427 COVID images.

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Institutions

Menoufia University

Categories

Radiology, Diagnosis, Medical Care, Image Classification, Detection System, Viral Pneumonia, Medical Image Processing, Chest Radiology, COVID-19

Licence