Histovis is a collection of 17 annotated whole slide images from the University of Cost. The images are in H&E and IHC stain formats at 20× magnification and are stored in SVS file format.
Use Cases
- Train image segmentation models based on annotated whole slide images.
- Develop stain classification algorithms based on H&E and IHC image types.
- Benchmark computational pathology tools on 20× magnification SVS files.
Strengths
- 17 annotated images provide a labeled starting point for model training.
- Images are at a standard 20× magnification for pathology analysis.
- Includes both H&E and IHC stain types, covering common diagnostic formats.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- University of Cost