Teaching methods¶
- 60 hours guided group project work
- 16 hours groepsgewijs college
- 60 hours individual project work without guidance
- 8 hours student presentation
- 20 hours individual study period
In the first half of the course basic skills will be developed through a series of lectures and practical assignments. In the second part, a medical image analysis application will be developed in small groups. The topic of this application varies from year to year. Examples are lung nodule detection in CT screening data, detection of diabetic retinopathy in retinal images, and detection of white matter lesions in brain MRI. Applications will be developed with python and/or other programming languages.
Mini-challenges¶
Most of the assignments will be paired with a mini-challenge. The output of CAD systems developed during practical assignments will be submitted to the mini-challenge framework, which will evaluate the output based on a common reference standard and common evaluation metrics.
The result of the evaluation will be available in the challenges section of this website.
Examination¶
Seminar presentation and report.
Prerequisites¶
Knowledge and skills on a level of a BSc in Artificial Intelligence or Computer Science.