Speakers
Carsten Lüth
(Helmholtz Imaging)
Helmholtz Imaging
Lukas Klein
(Helmholtz Imaging)
Paul Jäger
(Helmholtz Imaging)
Description
Brief Content:
This tutorial is designed as a follow-up to the intermediate course "Machine Learning-Based Biomedical Image Analysis" on September 15, 2022 at 10:00 by Paul Jäger et al.
It comprises a hands-on Tutorial on how to train and apply nnU-Net (using google colab). The number of participants is limited to 30.
Participation in the course "Machine Learning-Based Biomedical Image Analysis" is mandatory.
| Target audience | Data Science, Medical Informatics, Bioinformatics, Robotics |
|---|---|
| Learning target | Basic principles of Machine Learning and how it is used for Image analysis with focus on the biomedical domain. How to install and apply the state-of-the-art method in biomedical image segmentation: nnU-Net. |
| Previous experience | Participation in "Intermediate: Machine Learning-Based Biomedical Image Analysis", Enthusiasm for IT, General Programming Skills, google account (we use GoogleColab) |
| Maximum number of participants | 30 |
