Shypd.aiThe largest open index of AI toolsStarDist is an open-source object detection tool that uses star-convex shapes for 2D and 3D image segmentation. It provides Python implementation for cell detection and instance segmentation in microscopy and histopathology images.
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StarDist is an open-source Python implementation for object detection and segmentation using star-convex shapes in 2D and 3D images. It is particularly well-suited for applications in microscopy and histopathology, enabling precise cell and nuclei instance segmentation. The tool trains models to predict distances to object boundaries and probabilities, generating candidate polygons that are refined via non-maximum suppression. StarDist supports multi-class prediction, allowing objects to be classified into discrete categories. It also includes a submodule for computing common instance segmentation metrics, facilitating performance evaluation. Installation is straightforward with pip, and pretrained models are available for various image types.
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