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| Item Type: | Dataset |
|---|---|
| Title: | PathoCell: a benchmark for foundational models in computational pathology |
| Creators Name: | Reith, F.H. |
| Abstract: | This repository contains the datasets for PathoCellBench (formerly PhenoBench), a comprehensive benchmark designed to evaluate the cell phenotyping capabilities of pathology Foundation Models. The benchmark suite includes four key datasets, all processed into the efficient LMDB (Lightning Memory-Mapped Database) format to facilitate large-scale experimentation. DATASETS INCLUDED: This collection consolidates the following datasets: PathoCell (formerly PhenoCell): Our new, challenging benchmark dataset for H&E cell phenotyping with 14 granular cell types.; PanNuke: A pan-cancer nucleus segmentation and classification dataset. Note: This dataset requires a one-time setup step after downloading (see instructions below).; Lizard: A large-scale nucleus segmentation and classification dataset in colon histology.; ARCTIQUE: A colorectal cancer histology dataset for tile-based classification. |
| Keywords: | Pathology, Histology, Cell Phenotyping, Foundation Models, Benchmark |
| Source: | Hugging Face |
| Publisher: | GitHub |
| Date: | September 2025 |
| External Fulltext: | View full text on external repository or document server |
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