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Repository Details

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/

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