Introduction to Medical Image Analysis

About this programme

This course aims to study the most used methods in 3D image analysis (extract relevant information from images) and their use in medical applications. Please note that Students not located in Sweden may have problems attending a course at KTH. You could meet obstacles if you're required to pay fees or if you do not have a Swedish Mobile BankID. Please note: all information from the Course syllabus is available on this page in an accessible format. 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. Image analysis is used to extract relevant information from images. Image analysis is important for the diagnosis and treatment of various diseases. The course covers concepts, theories, and the most used methods in image analysis. The course is focused on solving medically relevant problems. Bachelor's degree in Medical Technology, Engineering Physics, Electrical Engineering, Computer Science or equivalent. At least 6 credits in programming. English B/English 6. Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability. The examiner may apply another examination format when re-examining individual students.