Description
Scientific images can be segmented interactively with machine-learning-assisted workflows for labeling and analysis.
It is useful for researchers processing microscopy, biology, materials, or other image datasets. Segmentation results depend on training examples and input quality, so outputs should be validated before scientific decisions.