Part of the PRESIMAL Autumn Research School on Artificial Intelligence in Medical Imaging, Sept 14–16, 2022.
13.09.22, Alexander Selvikvåg Lundervold
The lecture and the accompanying workshop take you on a short guided tour of deep learning in the context of medical imaging, showcasing AI-driven biomarker analysis.
Here you'll find PDF versions of the lecture slides.
Slides from the presentation Medical AI: Development, Application, and Evaluation of Machine Learning in Medicine.
The workshop builds upon the earlier presentation and provide (i) an introduction to deep learning (connected to notebook 2.0-asl-deep_learning_brain_tumor_segmentation.ipynb linked below), (ii) hands-on example of AI-driven biomarker analysis (notebook 1.0-asl-brain_tumor_analysis_radiomics.ipynb), and (iii) a quick look at our fastMONAI deep learning library.
The hands-on part of the workshop is based on the first two notebooks linked below, as well as the tutorial notebooks of fastMONAI.
| Notebook | 1-Click Notebook |
|---|---|
| 1.0-asl-brain_tumor_analysis_radiomics.ipynb | |
| 2.0-asl-deep_learning_brain_tumor_segmentation.ipynb |  |
You'll find the fastMONAI tutorial notebooks through the below link. We'll have a look at these during the workshop:
