Part of the NorDoc PhD Conference on Sustainability in Health, June 17–18, 2022.
18.06.22, Alexander Selvikvåg Lundervold & Arvid Lundervold
These lectures and the accompanying workshop take you on a short guided tour of deep learning in the context of medical imaging.
Here you'll find PDF versions of the lecture slides.
Slides from the plenary presentation Artificial intelligence and machine learning algorithms for brain cancer biomarker analysis and prognostication promotes sustainability in medical science by Arvid Lundervold.
The parts of the workshop connected to the slides linked below provide (i) an introduction to deep learning (connected to notebook 1.0-asl-segmentation-brain_tumor_segmentation.ipynb linked below) and (ii) some perspectives about how to approach deep learning as a practical tool in any concrete application domain.
The hands-on part of the workshop is based on the first two notebooks linked below. The ones marked as "extra" will be mentioned as possible self-study material but will not be covered in any detail.
| Notebook | 1-Click Notebook |
|---|---|
| 1.0-asl-segmentation-brain_tumor_segmentation.ipynb |  |
| 2.0-asl-brain_tumor_analysis_radiomics.ipynb | |
| extra-3.0-asl-nnets_building_blocks.ipynb | |
| extra-4.0-asl-tumor_grading.ipynb | |
Some of the above notebook material has been used in other courses we've held previously. If you're interested, you may consider having a look at the recordings of these lectures.
- A version of the notebook
1.0-asl-segmentation-brain_tumor_segmentation.ipynbwas also presented here: https://youtu.be/cwjs4szpy3M?t=4817 - A notebook similar to
extra-3.0-asl-nnets_building_blocks.ipynbwas presented here: https://www.youtube.com/watch?v=j0rwEPIpO-Y - A notebook similar to
extra-4.0-asl-tumor_grading.ipynbwas presented here: https://youtu.be/0h7cy8kOFMA?t=3204.
You'll find additional notebooks and resources for practical deep learning in biomedicine and biotech in the course repository for our course HVL-MMIV-DLN-AI-2022.