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cbis-ddsm

Curated Breast Imaging Subset of DDSM

https://github.com/dataset-ninja/cbis-ddsm

Science Score: 31.0%

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
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Curated Breast Imaging Subset of DDSM

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 6.88 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

CBIS-DDSM: Curated Breast Imaging Subset of Digital Database for Screening Mammography

CBIS-DDSM is a dataset for instance segmentation, object detection, and semantic segmentation tasks.

Owner

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

Citation (CITATION.md) 

If you make use of the CBIS-DDSM data, please cite the following reference:

``` apa
Sawyer-Lee, R., Gimenez, F., Hoogi, A., & Rubin, D. (2016). Curated 
Breast Imaging Subset of Digital Database for Screening Mammography 
(CBIS-DDSM) [Data set]. The Cancer Imaging Archive. https://doi.org/10.
7937/K9/TCIA.2016.7O02S9CY

Lee, R. S., Gimenez, F., Hoogi, A., Miyake, K. K., Gorovoy, M., & Rubin, 
D. L. (2017). A curated mammography data set for use in computer-aided 
detection and diagnosis research. In Scientific Data (Vol. 4, Issue 1). 
Springer Science and Business Media LLC. https://doi.org/10.1038/sdata.
2017.177

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., 
Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, 
F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a 
Public Information Repository. In Journal of Digital Imaging (Vol. 26, 
Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://
doi.org/10.1007/s10278-013-9622-7
```

[Source](https://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=22516629#22516629c81c47058258450fbdab650f04bea8a2)

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Dependencies

requirements.txt pypi