This course focuses on how to handle multi-dimensional images and how automation enables analysis of big datasets. The course covers the following topics:
• 3D image visualization of medical and biological images
• Automated image analysis and batch processing
• Machine learning and deep learning
After the course student:
• understands the motivation for and basic methods used in automated image analysis
• knows how to apply and build pipelines for automated quantitative analysis of microscope images
• understands why and how to validate image analysis pipelines
• is able to make justified selection of approaches for producing quantitative analysis for image data
• have more experience in giving and receiving constructive feedback.
- Opettaja
Pekka Ruusuvuori