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.
Files
Institutions
Menoufia University
Categories
Radiology, Diagnosis, Medical Care, Image Classification, Detection System, Viral Pneumonia, Medical Image Processing, Chest Radiology, COVID-19