A three-dimensional framework using ontology-aware tissue representation and training-only counterfactual supervision ...
Image annotation can tell a model very different things about a picture. A box can show where a car is. A polygon can follow its outline. And if the model ...
UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three ...
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.
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 ...