About MiaLab
MiaLab is a general-purpose image processing platform built on VTK, ITK, and ONNX libraries. It combines interactive image annotation tools with advanced visualization techniques and fully automated deep learning–based processing modules, offering state-of-the-art image analysis capabilities for academic use. The software is compatible with both Windows and Linux systems.
Our Team
MiaLab was originally developed by Dr. Chunliang Wang during his PhD project under the supervision of Prof. Örjan Smedby, and was later expanded to support a wide range of image processing tasks. With contributions from his colleagues Dr. Simone Bendazzoli and Max Kim, the software was further enhanced to incorporate state-of-the-art deep learning methods through the ONNX library.
Show Cases
MiaLab has been widely used in numerous research projects within the Medical Image Analysis Group at the Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology. Below are example applications in cardiac imaging, pulmonary disease analysis, orthopedic visualization, and neural imaging analysis.
Heart chamber segmentation
Liver tumor segmenation and surgery planning
Acknowledgements
