Introduction to AI-based biomedical image analysis for cell segmentation
Introduction to AI-based biomedical image analysis for cell segmentation
Description
In this micro-module, you will explore how AI and deep learning methods can be used to segment and analyse cells in microscopy images. Combining theoretical foundations with hands-on computational exercises, you will learn to apply image analysis pipelines, evaluate model performance, and extract meaningful biological information from complex data. Working in a flexible online environment, you will develop practical skills relevant for research and applications in biomedical science and medical diagnostics.
The Team
Teachers
Meet the expert teaching staff, who is here to guide you through this learning opportunity.
Learners
- Study period
- 21 September – 16 October 2026
- Study format
- Online
- Application period
- 5 June – 6 September 2026
- Credits
- 2.5 ECTS
- Hosting university
- Linkoping University
- Topics
- Learner type
- Students
- EQF Level
Master Level
Information
Value and progress
AI methodologies in microscopy images
After completing the course, the student is expected to be able to describe AI-based methodologies for the segmentation of cells in microscopy images.
ESCO SKILLS
Deep learning models
After completing the course, the student is expected to be able to use pre-trained deep learning models for the segmentation of cells in microscopy images.
ESCO SKILLS
Evaluation of models
After completing the course, the student is expected to be able to evaluate the quality of a segmentation model using established statistical metrics.
ESCO SKILLS
Principles of deep learning
After completing the course, the student is expected to be able to explain the principles of deep learning and how neural networks are used in biomedical image analysis.
ESCO SKILLS
Quantitative measure extraction
After completing the course, the student is expected to be able to extract quantitative measures of cell size, shape, and spatial organization from segmented images.
ESCO SKILLS
Image analysis pipelines
After completing the course, the student is expected to be able to implement reproducible image analysis pipelines using interactive computational environments.
ESCO SKILLS
Assessment of AI image analysis
After completing the course, the student is expected to be able to discuss the opportunities and limitations of AI-based image analysis in biomedical and clinical applications.
ESCO SKILLS
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Hosting university
Linkoping University
