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Machine Learning to detect blood vessels and their crossing points in fundus images, photographs of the back of the eye. Pre-processing done in Matlab. Primary and post processing performed using Python, with frontend Keras and backend Theano, via the Jupyter IDE. Inspired by UberNet and U-Net.