Out of the lab
Google DeepMind: The Podcast
A New Approach to Diabetic Eye Disease
The first neural network is trained to identify all the disease features on the scam. The second neural network is then trained to take those feature and use them to make a diagnosis. It's first going through a kind of high lighting areas that don't look totally normal, anything that looks suspicious. And you can see all those areas that that first neral network has high lighted,. So that's one of the great advantages of this approach. We get the output from the first neural network, and we can interrogate that as doctors making decisions for our patients.
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