GitHub repository: mobassir94/Chest-Reader--Deep-Learning-powered-Web-App--
Primary language: Jupyter Notebook
Description: This software uses pre-trained vgg16 with U-NET convolutional neural network (CNN) architecture to recognise tuberculosis on chest x-rays with having model accuracy 97% and validation accuracy 88% and The model is trained on a Dataset of 800 images(which is very small dataset) from two sources Shenzhen and Montgomery respectively.  the app is live here : https://chestscanner.cfapps.io/