Скачать или смотреть Deep Learning for Image Analysis

00:00 Introduction & theory
16:08 Basic pipeline / "skeleton" code
28:25 Adapting the pipeline to the GlaS challenge
31:20 Evaluation code
34:47 Dataset, pre-processing, data augmentation code
41:32 Model(s) code & post-processing
46:07 Full pipeline summary
47:40 Full code review
1:08:52 Experiments & validation results
1:14:15 Final test & conclusions

How to approach a segmentation problem using Deep Learning? A bit of theory, and a case study with Tensorflow v2.

Dataset used: https://warwick.ac.uk/fac/cross_fac/t...

Code: https://github.com/adfoucart/dlia-videos
Paper cited: [Van Eycke, 2018] https://www.sciencedirect.com/science...


Video made as teaching material for the INFO-H-501 (Pattern recognition and image analysis) course of the Université Libre de Bruxelles.