> For the complete documentation index, see [llms.txt](https://ubern-mialab.gitbook.io/course/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ubern-mialab.gitbook.io/course/mia-medical-image-analysis.md).

# MIA: Medical Image Analysis

During the MIA Lab you will work on the task of brain tissue segmentation from magnetic resonance (MR) images (see [data](/course/topics/data.md)). We have set up an entire pipeline to solve this task, specifically:

* Pre-processing
* Registration
* Feature extraction
* Voxel-wise tissue classification
* Post-processing
* Evaluation

During the laboratory (see [schedule for more specifics](/course/getting-started/schedule-autumn-2025.md)) you will learn and implement a complete [pipeline](broken://pages/npc8Ogan7DS6y4lqyA1W) and investigate one of the elements in-depth. You will get to know and use [various libraries and software tools](/course/getting-started/tools.md) needed in the daily life as biomedical engineer or researcher in the medical image analysis domain.

Enjoy!

Found a bug or have suggestions? [Contact us](https://github.com/orgs/ubern-mialab/people), 

Amith, Shelley, Michael and Prof. Mauricio Reyes, [MIA Lab at the ARTORG Center](https://www.artorg.unibe.ch/research/mia/index_eng.html).