X-Ray Classification of Pneumonia by Neural Networks Convolution using Vgg Architecture

Pneumonia is one of the deadliest diseases, killing 2-3 million people in developed countries like United States. Based on WHO's view, pneumonia leading causes death children worldwide, WHO says many under age 5 have died from disease. And 2017, World Health Organization (commonly known as WHO) reported that had claimed lives 800,000 5. This why researchers this program, to help public diagnose pneumonia. In study, we generated a Deep Learning model using CNN (Convolutional neural network) approach VGG16 architecture for thoracic classification and normalization. The results study show Convolution network method can classify chest X-ray with highest accuracy 0.9772