arwa-fawzy / chest-x-rays-pneumonia-detection-using-cnn Goto Github PK

The model classifies the chest X-ray images into two subcategories: normal and pneumonia. This classification was a threshold for thinking of COVID-19 and non COVID-19 diagnosis through Convolution neural networks. By choosing color palettes via seaborn, it was suitable with the human eye to detect which ray has negative result. Eventually, the confusion matrix demonstrated the accuracy and the ultimate results.