Open access
Aug 2026
Clinical evaluation of nnU-Net-based segmentation for enhanced MRCP maximum intensity projection visualization.
PURPOSE To evaluate whether deep learning-based segmentation can improve visualization and diagnostic interpretation of MR cholangiopancreatography (MRCP) maximum intensity projections (MIP) by suppressing overlapping high-intensity anatomy while preserving the pancreatobiliary system. METHODS A total of 322 3D MRCP...
Jinho Kim, S. Werner, S. Afat et al.
· MAGMA · 0 citations