# 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](https://ubern-mialab.gitbook.io/course/topics/data)). 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](https://ubern-mialab.gitbook.io/course/getting-started/schedule-autumn-2025)) you will learn and implement a complete [pipeline](https://ubern-mialab.gitbook.io/course/broken-reference) and investigate one of the elements in-depth. You will get to know and use [various libraries and software tools](https://ubern-mialab.gitbook.io/course/getting-started/tools) 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).