Deep Learning for Image Analysis: video tutorial

Research in the course of a PhD thesis, by Adrien Foucart.

Last year, I did a video tutorial for the INFO-H-501 "Pattern Recognition and Image Analysis" course at the Université Libre de Bruxelles. I apparently forgot to also put it here, so here we are...

The video contains a bit of theory on how to approach a segmentation problem with "Deep Learning", and a guide to a working implementation of the pipeline using Tensorflow v2.

The dataset used in the video is the publicly released GlaS challenge dataset. All the code can be found here on GitHub: