Medical Image Segmentation
KTH Royal Institute of Technology
KTH Flemingsberg
Start date:
End date:
Pace of study: 25 %
Published education catalogue
Medical Image Segmentation
Education information from the published source. The education record and its time-bound offerings are kept separate.
Education facts
Code: CM202V
Welcome to the course CM2002 Artificial Intelligence within Biomedical Engineering and Health Systems ! During this course you will experience various aspects of current, emerging and future healthcare challenges and trends, learn how to develop innovative technical solutions and recognise business opportunities. Various activities include but not limited to lectures, team collaboration, oral presentations, study visits, problem based learning seminars, practical hands on training and collaborative project work. By the end of this course, you will have relevant knowledge on how new technologies can tackle future challenges in healthcare, appreciate the benefits, but also understand the barriers and risks associated with the implementation of the innovative solution. The content of the course is also part of the Professional development in the form of life-long learning to be offered to innovators and entrepreneurs, healthcare professionals, medical engineers and policy makers.
Entry requirements
The published source does not provide entry requirements.
Education offerings
Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.
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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d
Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c
Last changed according to the source: 2026-03-20T13:05:56