Using Artificial Intelligence to Detect Changes in Lung Tumors with Greater Speed and Precision
Regular follow-up monitoring is crucial when it comes to treating cancer
successfully. In the SPIRABENE project, Fraunhofer Institute for Digital Medicine
MEVIS developed a deep learning-based software program which makes it
possible to identify disease- and treatment-related changes in tumors in CT
images with even greater speed and accuracy, thus improving the chances of
recovery and making day-to-day clinical practice easier.
Rethinking Radiology: Impulses, Innovations, and Awards at RÖKO 2025
From May 28 to 30, 2025, the radiology community will meet for the 106th German Radiology Congress, or “RÖKO” for short, in Wiesbaden, Germany. The motto of this year's congress is ”Shaping W.I.R. – Knowledge. Innovation. Radiology“ with the overarching focus topics ”New Work“ and ”Radiology in Clinic and Practice“. Fraunhofer MEVIS will once again be represented at this year's RÖKO with numerous contributions.
Fraunhofer MEVIS proudly congratulates Alessa Hering for winning the first prize of the prestigious Fraunhofer ICT Dissertation Award 2024. The award recognizes her exceptional dissertation titled “Deep-Learning-based Image Registration and Tumor Follow-Up Analysis,” lauded by the jury for its outstanding contributions to medical image processing.
Award ceremony of the Basic Track of the Bremen Big Data Challenge 2025 honors young programming talents
Bremen, 29 April 2025 – The best teams of the Basic Track of the Bremen Big Data Challenge 2024 were honored at a festive event at the Cognitive Systems Lab (CSL) of the University of Bremen.
Fraunhofer Institute for Digital Medicine MEVIS