Cellpose vs StarDist
Cellpose: Generalist deep learning model for cellular segmentation. StarDist: Star-convex object detection for nuclei segmentation.
Facts below come from each project's own website, repository and paper. We don't publish benchmark claims here; see the papers for evaluations. Shared tags: segmentation.
| Field | Cellpose | StarDist |
|---|---|---|
| 2D / 3D | 2D, 3D | 2D, 3D |
| Modality | Microscopy | Microscopy, histopathology |
| Segmentation type | Cell / nucleus instance | Nucleus instance (star-convex) |
| License | BSD-3-Clause | BSD-3-Clause |
| Pricing | Open source | Open source |
| Released | 2020-02-03 | 2018-06-09 |
| Paper | Link | Link |
| GitHub | GitHub | GitHub |
| GitHub stars | 2,402 | 1,284 |
| Interface | Package, Colab | Package |
Specs come from each project's README, paper or official page · Cellpose README · StarDist README. “—” means we couldn't verify it.
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