The course will mostly focus on image processing using the package scikit-image, which is 1) easy to install, 2) offers a huge choice of image processing functions and 3) has a simple syntax. Other tools that you may want to explore are OpenCV (focus on computer vision) and ITK (focus on medical image processing). Finally, it has recently become possible to "import" Fiji (ImageJ) into Jupyter, which may be of interest if you rely on specific plugins that are not implemented in Python (this is however in very beta mode).



This course assumes some familiarity with Python, Jupyter notebooks and python scientific packages such as Numpy. There are many great resources to learn Python, including within Jupyter environements. For example this is a great introduction that you can follow to refresh your memories if needed.


Registration is closed.

Preliminary program (subject to minor modifications)

Date Room Part I  Part II
2020-03-17  INF 1  9:00-13:00 14:00-18:00
2020-03-18  MED 2 1522 9:00-13:00 14:00-18:00


More information will come soon...