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code, data and documentation behind the publication: Robustness Of Radiomics To Variations In Segmentation Methods In Multimodal Brain MRI
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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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 (1.4%) to scientific vocabulary
Keywords
convolutional-neural-networks
deep-learning
medical-imaging
segmentation
Last synced: 6 months ago
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Repository
code, data and documentation behind the publication: Robustness Of Radiomics To Variations In Segmentation Methods In Multimodal Brain MRI
Basic Info
Statistics
- Stars: 0
- Watchers: 0
- Forks: 2
- Open Issues: 0
- Releases: 0
Topics
convolutional-neural-networks
deep-learning
medical-imaging
segmentation
Created almost 5 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
Citation
Owner
- Name: DEPREDICT
- Login: DEPREDICT
- Kind: organization
- Email: leopardstudie@amsterdamumc.nl
- Repositories: 2
- Profile: https://github.com/DEPREDICT
GitHub Events
Total
- Fork event: 1
Last Year
- Fork event: 1