C19CXC

COVID-19 Chest X-Ray Classifier

High-accuracy detection of Corona-virus (SARS-CoV-2)
Using chest x-ray images, built on convolutional neural networks

Chest X-Ray as Input

How does a doctor diagnose Coronavirus? Checking body temperature is the easiest way to diagnose this disease, which is not accurate at all. One of the best ways to diagnose the disease is to have a chest scan.

Powered by Tensorflow and VGG16

VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”. The model achieves 92.7% top-5 test accuracy in ImageNet, which is a dataset of over 14 million images belonging to 1000 classes.

Contribution

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