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csmp-hub/panoptils_refined

208 downloads in 30 days0 likesLast modified 19 Oct 2026View on Hugging Face

Permissive or share-alike

The declared licence (cc0-1.0) is classified as permissive.

Declared licence: cc0-1.0, from the tagEvidence: README.md at 21cc3a3
Licence files: No licence file at the top level of the repositoryEvidence: file list at 21cc3a3
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Tasks

image-segmentation

Citation text from the card

The data use [CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/). Please credit the PanopTILs, BCSS and NuCLS authors and Histolytics for the refined dataset, and cite these sources:

- Liu S, Amgad M, Rathore MA, Salgado R, Cooper LA. *A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset.* medRxiv 2022.01.08.22268814. [Paper](https://doi.org/10.1101/2022.01.08.22268814); [original PanopTILs](https://sites.google.com/view/panoptils/).
- Amgad M, Elfandy H, Hussein H, et al. *Structured crowdsourcing enables convolutional segmentation of histology images.* Bioinformatics. 2019;35(18):3461–3467. [BCSS paper](https://doi.org/10.1093/bioinformatics/btz083).
- Amgad M, Atteya LA, Hussein H, et al. *NuCLS: A scalable crowdsourcing approach and dataset for nucleus classification and segmentation in breast cancer.* GigaScience. 2022;11. [NuCLS paper](https://doi.org/10.1093/gigascience/giac037).

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dataset_licence({ "id": "csmp-hub/panoptils_refined" })
signal: "permissive"
stated_licence: "cc0-1.0"
sources: 0