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# pneumonia-detection-cnn |
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<h3>Title: Pneumonia Classification using Deep Learning and Techniques<h3> |
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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. |
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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. |
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We created a custom CNN model first and then also trained our dataset on pretrained models like (VGG16, VGG19 and ResNet50) |
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The backend is created using Django framework. |