CHIEF
Pathology foundation model for cancer detection, tumor-origin and molecular-profile prediction and prognosis from whole slides.
| Category | Imaging & pathology |
|---|---|
| GitHub | hms-dbmi/CHIEF |
| First public | 2024-05-16 (source) |
| Paper | https://doi.org/10.1038/s41586-024-07894-z · Nature (2024) |
| License | AGPL-3.0 |
| Pricing | Open source |
| Tags | #pathology#foundation-model#cancer |
| Last checked | 2026-10-16 |
Specs
| 2D / 3D | 2D (whole-slide images) |
|---|---|
| Modality | H&E whole-slide images |
| Segmentation type | N/A (diagnosis/prognosis foundation model) |
| GitHub stars | 719 |
| Interface | — |
Specs come from each project's README, paper or official page · CHIEF README · CHIEF paper. “—” means we couldn't verify it.
Compare with…
Pick 1–3 other Imaging & pathology tools to compare side by side with CHIEF.
Related
Generalist deep learning model for cellular segmentation.
Imaging & pathologyOpen source#segmentation
Star-convex object detection for nuclei segmentation.
Imaging & pathologyOpen source#segmentation#nuclei
Fast, interactive multi-dimensional image viewer for Python.
Imaging & pathologyOpen source#viewer#python