Welcome to the BM-Segmenter project

The BM-Segmenter projects aims to simplify image segmentation in the Bio-Medical setting.

This program allows to :

• Import and visualize DICOM images
• Create and edit segmentation masks on the images
• Compute the surface of the segmented regions

Optionally, a machine learning model can be used to automatically generate image segmentations. Such machine learning model can be trained with the code provided in this project.

State of the project

This project is currently developed at the Lausanne University Hospital (known as CHUV), under the supervision of Dr. Fabio Becce. Its main contributors are Joachim Koerfer and Damien Maier.

How to build

This page provides detailed instructions on setting up the project, building it and distributing it.

Code documentation

This page documents some aspects of the design of the software.