Speakers
Carsten Lüth
(Helmholtz Imaging)
Helmholtz Imaging
Lukas Klein
(Helmholtz Imaging)
Paul Jäger
(Helmholtz Imaging)
Description
Brief Content:
1. Introduction to Machine Learning-based Image Analysis
2. Applications and Examples on Biomedical Images
3. Introduction to nnU-Net
4. Hands-on Tutorial on how to train and apply nnU-Net (using google colab). The tutorial starts right after this course and will take 45min, number of participants is limited to 30.
→ Register here ←
| 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 | Enthusiasm for IT, General Programming Skills, google account (we use GoogleColab) |
