Innovative Study on Early Detection of Adenomyosis
A research consortium led by University Hospital Erlangen and Charité – Universitätsmedizin Berlin has, for the first time, systematically acquired and analyzed MRI scans of the uterus in both healthy and diseased states as part of the RACOON FADEN project. The image data were evaluated using CuraMate, a modular software platform developed by the Fraunhofer Institute for Digital Medicine MEVIS for the annotation, segmentation, and quantification of medical image features.
From Tissue to Insight: Digital Pathology Tools at ECDP 2025
The 21st European Congress of Digital Pathology (ECDP) will take place from June 25–28, 2025, at the Palau de Congressos de Barcelona. The event brings together professionals from clinical, research, and industry sectors to explore new approaches, challenges, and breakthroughs in digital pathology.
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.
Fraunhofer Institute for Digital Medicine MEVIS