Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 16.4 MB
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Created almost 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

Skin Cancer: HAM10000

Skin Cancer: HAM10000 is a dataset for semantic segmentation task.

Owner

  • Name: dataset-ninja
  • Login: dataset-ninja
  • Kind: organization

Citation (CITATION.md)

If you make use of the Skin Cancer (HAM10000) data, please cite the following reference:

```bibtex
@article{Tschandl2018_HAM10000,
    author    = {Philipp Tschandl and
                Cliff Rosendahl and
                Harald Kittler},
    title     = {The {HAM10000} dataset, a large collection of multi-source dermatoscopic
                images of common pigmented skin lesions},
    journal   = {Sci. Data},
    volume    = {5},
    year      = {2018},
    pages     = {180161},
    doi       = {10.1038/sdata.2018.161}
}

@article{Tschandl2020_NatureMedicine,
    author = {Philipp Tschandl and Christoph Rinner and Zoe Apalla and Giuseppe Argenziano and Noel Codella and Allan Halpern and Monika Janda and Aimilios Lallas and Caterina Longo and Josep Malvehy and John Paoli and Susana Puig and Cliff Rosendahl and H. Peter Soyer and Iris Zalaudek and Harald Kittler},
    title = {Human{\textendash}computer collaboration for skin cancer recognition},
    journal = {Nature Medicine},
    volume = {26},
    number = {8},
    year = {2020},
    pages = {1229--1234},
    doi = {10.1038/s41591-020-0942-0},
    url = {https://doi.org/10.1038/s41591-020-0942-0}
}
```

[Source](https://github.com/ptschandl/HAM10000_dataset#cite)

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Dependencies

requirements.txt pypi