Semantic Features Analysis Definition, Examples, Applications Some features are not compatible with the segmentation task and do not contain enough spatial information for precise boundary generation. Also, it takes time to generate segment-based proposals, greatly affecting overall performance. Recent research has proposed addressing these limitations using SDS, Mask R-CNN, or hypercolumns. For example, radiologists have found semantic segmentation algorithms effective at classifying CT scan abnormalities, which can be difficult for human radiologists to identify. Semantic segmentation can serve as a diagnostic tool that helps medical