isic-2017-part-3
ISIC 2017: Part 3 - Disease Classification Task Dataset
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.4%) to scientific vocabulary
Last synced: 6 months ago
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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
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
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
- Repositories: 1
- Profile: https://github.com/dataset-ninja
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