As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to extract useful information from scans that were never manually annotated.
MR segmentation can be roughly divided into 2 categories: a single-image segmentation or multi-spectral-image segmentation, in which multiple MRIs with different gray-scale contrasts are available and ...
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 ...
T1-weighted MRIs have been chosen for our study due to the difficulties in achieving a better clustering for brain tissue regions. The clustering segmentation method processed MRIs of brain tissue ...
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