Together with the department of radiation oncology of the AMC hospital and the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Xomnia will develop a deep learning and computer vision model that will potentially save lives.
The model will be able to make comparisons between multiple medical images of a patient, for example, to analyze how a disease is progressing. The goal is to be able to utilize radiation therapy more effectively. Current image recognition solutions are not robust enough to handle the deformation between images in many cases and are therefore not useful in clinics. Xomnia has committed to help overcome these challenges by developing a so-called MODIR-model (“Multi-Objective Deformable Image Registration”). Over the next four years, Xomnia will work with AMC and CWI to make this a reality.
The main challenge for the model is dealing with the deformation between images. But just as important is that the software solution should be easy to use for the end-user. Xomnia is putting its data science and data engineering expertise to the test in helping AMC and CWI with both these challenges.
We are really glad and humble that we are able contribute to this research program. We can’t wait work with the experienced research team to start building a robust deep learning/computer vision model that will increase the effectiveness of radiation therapy. A little bit more information about this project is to be found here (in Dutch).