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Overview
What you will study
The Introduction to Medical Image Analysis course offered by KTH Royal Institute of Technology course covers concepts, theories, and the most used methods in image analysis. The course is focused on solving medically relevant problems.
After completing the course, the participant should be able to:- Understand the main problems and challenges in image analysis
- Describe the main principles and methods and the main differences between them
- Summarize the advantages and disadvantages and scope of different methods
- Identify and understand the mathematical theory behind the most used methods
- Develop and systematically evaluate different methods for solving simplified problems
- Analyze the effect of different parameters of the methods in particular situations
- Explain the proposed strategy for solving specific problems
- understand the complete workflow for using computational tools for image analysis in a medical context
- be able to implement computational solutions in image analysis to medically relevant problems
- have a broad knowledge base that can facilitate understanding literature in the field
Programme Structure
The program focuses on:
- Feature extraction
- Image classification
- Image regression
- Machine learning and deep learning for image analysis
The course consists of lectures, laboratories, mathematical exercises, and an exam. Participants combine basic and advanced software libraries for image registration in Python, including scipy, numpy, SimpleITK, scikit-image, scikit-learn, TensorFlow, etc. The course also includes introductory labs for students with programming experience but no Python experience.
Key information
Duration
- Part-time
- 2 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
TOEFL® IBT 90
Credits
2 ECTS
Delivered
Online
Disciplines
Medical Imaging View 8 other Short Courses in Medical Imaging in SwedenAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL® IBT 90
Other requirements
General requirements
- Bachelor's degree in Medical Technology, Engineering Physics, Electrical Engineering, Computer Science or equivalent.
- At least 6 credits in programming.
- English B/English 6.
Tuition Fee
To always see correct tuition fees
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EU/EEA
FreeTuition FeeBased on the tuition of 0 SEK for the full programme during 2 months.
If you are an EU, EEA or Swiss citizen or hold a residence permit in Sweden for something other than studies you generally do not have to pay tuition fees.
Funding
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