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polypgen

PolypGen

https://github.com/dataset-ninja/polypgen

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
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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
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

PolypGen

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 9.07 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

PolypGen: A Polyp Segmentation and Detection Generalisation Dataset from EndoCV2021 Challenge

PolypGen is a dataset for instance segmentation, semantic segmentation, object detection, and classification tasks.

Owner

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

Citation (CITATION.md) 

If you make use of the PolypGen data, please cite the following reference:

``` apa
[1] Ali, Sharib, Jha, Debesh, Ghatwary, Noha et al. (2021) PolypGen: A 
multi-center polyp detection and segmentation dataset for generalisability 
assessment. arXiv.

[2] Ali, Sharib, et al. "Assessing generalisability of deep learning-based polyp 
detection and segmentation methods through a computer vision challenge." arXiv 
preprint arXiv:2202.12031 (2022).

[3] Ali S, Dmitrieva M, Ghatwary N, Bano S, Polat G, Temizel A, et al. Deep 
learning for detection and segmentation of artefact and disease instances in 
gastrointestinal endoscopy. Medical Image Analysis. 2021:102002.
```

[Source](https://www.synapse.org/#!Synapse:syn26376615/wiki/613312)

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Dependencies

requirements.txt pypi