I start summarising the paper at 1:53
Reading scientific papers is a great way to learn more about Artificial Intelligence. In this video I look at the DeepMind article ‘Clinically applicable deep learning for
diagnosis and referral in retinal disease’ by Jeffrey de Fauw et al. This is a very interesting article and a great example of what can be done with Artificial Intelligence (AI) . Here are the links:-
https://deepmind.com/blog/moorfields-major-milestone/
https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/
https://spark-in.me/post/unet-adventures-part-one-getting-acquainted-with-unet
http://blog.kaggle.com/2016/07/11/from-kaggle-to-google-deepmind-an-interview-with-jeffrey-de-fauw/
https://en.wikipedia.org/wiki/Optical_coherence_tomography
http://vision03.csail.mit.edu/cnn_art/
https://cs231n.github.io/convolutional-networks/
http://scs.ryerson.ca/~aharley/vis/conv/