Analyzing symptoms using chest X-rays by PyTorch's pretrained ResNet50 implementation
*****COVID-19 CHEST X-RAY DATABASE
We have created a database of chest X-ray images for COVID-19 positive cases along with Normal and Viral Pneumonia images. All the X-ray images will be released as soon as possible in Kaggle repository. In our current realease, there are 219 COVID-19 positive images, 1341 normal images and 1345 viral pneuomonia images. We will continue to update this database as soon as we have new x-ray images for COVID-19 pneumonia patients.
**View current images and metadata
***Contribution - We have developed the database of COVID-19 x-ray images from Italian Society of Medical and Interventional Radiology (SIRM) COVID-19 DATABASE, Novel Corona Virus 2019 Dataset developed by Joseph Paul Cohen and Paul Morrison and Lan Dao in GitHub and images extracted from 43 different publications. References for each image is provided in metadata. Normal and Viral pneumonia images were adopted from Chest X-Ray Images (pneumonia) database.
Formats - All the images are in Portable Network Graphics (PNG) file format and resolution is 10241024 pixels, which can be easily converted to 224224 or 227227 pixels typically required by the popular Convolutional Neural Networks (CNNs).
****Objective - Researchers can use this database to produce useful and impactful scholarly work on COVID-19, which can help in tackling this pandemic.