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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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 6 months ago
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Repository
RSNA Bone Age: Predict Age from X-Rays
Basic Info
- Host: GitHub
- Owner: dataset-ninja
- License: other
- Language: Python
- Default Branch: main
- Size: 762 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created about 2 years ago
· Last pushed 7 months ago
Metadata Files
Readme
License
Citation
README.md
RSNA Pediatric Bone Age Challenge 2017
RSNA Bone Age 2017 is a dataset for identification 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 RSNA Bone Age 2017 data, please cite the following reference: ``` bibtex Halabi S, et al. The Pediatric Bone Age Machine Learning Challenge. https://pubs.rsna.org/doi/10.1148/radiol.2018180736 ``` [Source](https://www.rsna.org/-/media/Files/RSNA/Education/AI%20resources%20and%20training/AI%20image%20challenge/RSNA-2017-Pediatric-Bone-Age-Challenge-Dataset-Description.ashx?la=en&hash=A0B423007088816AFFACDCA934E2F09F903215F4&hash=A0B423007088816AFFACDCA934E2F09F903215F4)
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