Tumor diagnosis, prognostication and treatment has always been a multi-disciplinary art. Oncologists, pathologists, and surgeons - to only name the main disciplines - combine their skills to derive the individually most suitable therapy for a patient.
As computer scientists skilled in creating AI solutions, we join these disciplines. It's our goal to find out how to best support each discipline, during diagnosis, therapy, and follow-up.
Based on our strong local network in Ingolstadt and Erlangen, we collaborate with specialists from medicine and computer sciences worldwide.
Every lab test and imaging modality has it's strenghts and weaknesses in diagnosis. We therefore combine multiple modalities like magnetic-resonance imaging or ultrasound with pathology images and findings to create AI algorithms that incorporate all this knowledge and aim to help in a more precise diagnosis and treatment planning.
It has been often said that data is the new oil in the information age. This is certainly true for machine learning. We think that data sets should not only be available to big companies, who can afford acquisition and labor for labeling.
We therefore keep releasing open data sets, many of which represent the largest in their field.