# 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). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://ubern-mialab.gitbook.io/course/mia-medical-image-analysis.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.