isic-2017-part-3

ISIC 2017: Part 3 - Disease Classification Task Dataset

https://github.com/dataset-ninja/isic-2017-part-3

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 (0.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

ISIC 2017: Part 3 - Disease Classification Task Dataset

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 2.07 MB
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  • Watchers: 1
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Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

ISIC 2017: Part 3 - Disease Classification Task

ISIC 2017: Part 3 - Disease Classification Task is a dataset for classification task.

Owner

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

Citation (CITATION.md)

If you make use of the ISIC 2017: Part 3 - Disease Classification Task data, please cite the following reference:

``` bibtex
@misc{codella2018skin,
  title={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)}, 
  author={Noel C. F. Codella and David Gutman and M. Emre Celebi and Brian Helba and Michael A. Marchetti and Stephen W. Dusza and Aadi Kalloo and Konstantinos Liopyris and Nabin Mishra and Harald Kittler and Allan Halpern},
  year={2018},
  eprint={1710.05006},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}
```

[Source](https://arxiv.org/abs/1710.05006)

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Dependencies

requirements.txt pypi