pneumonia-detection-cnn

Title: Pneumonia Classification using Deep Learning and Techniques

University final year project created with the help of deep learning algorithms (CNN and Pretrained CNN models) that can do detection, classification and segmentation of pneumonia using x-ray images. It's a multi-class classification problem and basically a research based project. We train multiple deep learning models on a custom created dataset. The dataset is based on 3 classes Bacterial, Viral and Normal. Because of more than two classes the problem comes under multi-classification. Mutliple models are trained and then integrated the best performing one with our final web-application. If you need access to the dataset contact me on my gmail address. We created a custom CNN model first and then also trained our dataset on pretrained models like (VGG16, VGG19 and ResNet50) The backend is created using Django framework.