All datasets / Euniceyeee
Euniceyeee/kidney-ct-abnormality
The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.
- Declared licence
- cc-by-nc-sa-4.0, from the tagEvidence: README.md at 7950d30
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 7950d30
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Citation text from the card
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> Datasets: Alves, N., & Boulogne, L. (2023). Kidney CT Abnormality [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8043408 Gabriel E. Humpire-Mamani, Luc Builtjes, Colin Jacobs, Bram van Ginneken, Mathias Prokop, & Ernst Th. Scholten. (2023). Dataset for: Kidney abnormality segmentation in thorax-abdomen CT scans [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8014290
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dataset_licence({ "id": "Euniceyeee/kidney-ct-abnormality" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 0