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PHYS-647: Image data science with Python and Napari

Résumé

This course introduces students to the basics of image data science using Napari and Python. Students will learn image filtering, segmentation and feature extraction. Other topics include supervised and unsupervised machine learning techniques for object classification and clustering.

Séances de cours

Enseignant·e·s (2)

Suliana Manley

From 2016 Associate professor, EPFL, Lausanne, Switzerland 2009-2016 Tenure-track assistant professor, EPFL, Lausanne, Switzerland 2006-2009 Post-Doctoral fellow, National Institutes of Health, Bethesda, MD, USA 2004-2006 Post-Doctoral fellow, Massachusetts Institute of Technology, Cambridge, MA, USA 1999-2004 PhD (Physics) Awarded 06/2004, Harvard University, Cambridge, MA, USA 1993-1997 Bachelors (Cum Laude) Physics & Mathematics, Rice University, Houston, TX, USA

Edward Carlo Giorgio Andò

See my profile here: https://actu.epfl.ch/news/epfl-now-has-a-dedicated-hub-for-support-in-image-/

Source officielle

https://edu.epfl.ch/coursebook/fr/image-data-science-with-python-and-napari-PHYS-647

Page Moodle

http://go.epfl.ch/PHYS-647

À propos de ce résultat

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Résumé

Séances de cours

Enseignant·e·s (2)

Suliana Manley

Edward Carlo Giorgio Andò

See my profile here: https://actu.epfl.ch/news/epfl-now-has-a-dedicated-hub-for-support-in-image-/

Source officielle

https://edu.epfl.ch/coursebook/fr/image-data-science-with-python-and-napari-PHYS-647

Page Moodle

http://go.epfl.ch/PHYS-647

À propos de ce résultat

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