All datasets / MKZuziak
MKZuziak/ISIC_2019_224
The checks could not identify a recognised licence ID for at least one declared source dataset.
- Declared licence
- cc-by-2.0, from the tagEvidence: README.md at 37e9333
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at 37e9333
- Declared sources
- 1
- Access gated on Hugging Face
- No
Sources listed in the card metadata
- ISIC 2019 Challengenot foundUnclear
Tasks
Citation text from the card
The aggregate 'ISIC_2019: Training' data must be cited as original work:
```
BCN_20000 Dataset: (c) Department of Dermatology, Hospital Clínic de Barcelona
HAM10000 Dataset: (c) by ViDIR Group, Department of Dermatology, Medical University of Vienna; https://doi.org/10.1038/sdata.2018.161 [Add to Citavi project by DOI]
MSK Dataset: (c) Anonymous; https://arxiv.org/abs/1710.05006; https://arxiv.org/abs/1902.03368
```
When referencing this dataset in your own manuscripts and publications, please use the following full citations:
```
[1] Tschandl P., Rosendahl C. & Kittler H. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions. Sci. Data 5, 180161 doi.10.1038/sdata.2018.161 (2018)
[2] Noel C. F. Codella, David Gutman, M. Emre Celebi, Brian Helba, Michael A. Marchetti, Stephen W. Dusza, Aadi Kalloo, Konstantinos Liopyris, Nabin Mishra, Harald Kittler, Allan Halpern: "Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)", 2017; arXiv:1710.05006. [Add to Citavi project by ArXiv ID]
[3] Hernández-Pérez C, Combalia M, Podlipnik S, Codella NC, Rotemberg V, Halpern AC, Reiter O, Carrera C, Barreiro A, Helba B, Puig S, Vilaplana V, Malvehy J. BCN20000: Dermoscopic lesions in the wild. Scientific Data. 2024 Jun 17;11(1):641.
```
Additionally, if the resample
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "MKZuziak/ISIC_2019_224" })
signal: "unclear"
stated_licence: "cc-by-2.0"
sources: 1