This is a web based (but locally run) system for diagnosing chest X-Rays.
The patient data remains on your computer and all computation occurs in your browser.
The system is designed to be used as a reference to confirm or aid in their diagnosis.
The system contains three main components: 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.
A probability indicating how likely the image contains the disease. 50% means the network is not sure.
NOT FOR MEDICAL USE. This is a prototype system for diagnosing
chest x-rays using neural networks. All processing is done on your
device and images are not sent to the server. If you continue you
assume all liability when using the system. A neural network model
(~150mb) will be downloaded to your browser.
By Joseph Paul Cohen, Paul Bertin, and Vincent Frappier 2019