The perception of images has gradually shifted from human visual cognition to the processing and analysis of images and multidimensional data by computers. Image segmentation is an application in the ...

Large annotated datasets are required for training deep learning models, but in medical imaging data sharing is often complicated due to ethics, anonymization and data protection legislation.

Example of segmentation visualization in the CrossSegmentationExplorer system. After selecting the image volume, segmentation models or files are chosen from the drop-down menus. For each selected ...