Out of distribution error: This is a heatmap showing how the image differs from our training data. If the heatmap is too bright then the image is very different from our training data and the model will likely not work. We will prevent an image from being processed if it is not similar enough to our training data in order to prevent errors in predictions.
Predictive image regions: The brighter each pixel is in the heatmap the more influence it can have on the predictions. If the color is bright it means that a change in these pixels will change the prediction.
Disease predictions: A probability indicating how likely the image contains the disease. 50% means the network is not sure.
This app would not be possible without the work and data created by the Universities below.
This is a prototype system for diagnosing
chest X-Rays using NN's (Neural Networks). All processing is done on your
device and images are not sent to any server. By continuing, you
assume any liability for using the system to diagnosis patients. Two NN models
(total size:100MB) will be downloaded to your browser.
