sleeep

code, data and documentation behind the publication: Robustness Of Radiomics To Variations In Segmentation Methods In Multimodal Brain MRI

https://github.com/depredict/sleeep

Science Score: 26.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.4%) to scientific vocabulary

Keywords

convolutional-neural-networks deep-learning medical-imaging segmentation
Last synced: 6 months ago · JSON representation

Repository

code, data and documentation behind the publication: Robustness Of Radiomics To Variations In Segmentation Methods In Multimodal Brain MRI

Basic Info
  • Host: GitHub
  • Owner: DEPREDICT
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 218 MB
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

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  • Fork event: 1