annotated-quantitative-phase-microscopy-cell-dataset

Annotated quantitative phase microscopy cell dataset of various adherent cell lines for segmentation purposes

https://github.com/dataset-ninja/annotated-quantitative-phase-microscopy-cell-dataset

Science Score: 44.0%

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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
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Repository

Annotated quantitative phase microscopy cell dataset of various adherent cell lines for segmentation purposes

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 6.52 MB
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Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

Annotated Quantitative Phase Microscopy Cell Dataset of Various Adherent Cell Lines for Segmentation Purposes

Annotated Quantitative Phase Microscopy Cell is a dataset for instance segmentation, semantic segmentation, object detection, and self-supervised learning tasks.

Owner

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

Citation (CITATION.md)

If you make use of the Annotated Quantitative Phase Microscopy Cell data, please cite the following reference:

``` bibtex
@dataset{vicar_tomas_2021_5153251,
  author       = {Vicar, Tomas and
                  Chmelik, Jiri and
                  Jakubicek, Roman and
                  Chmelikova, Larisa and
                  Gumulec, Jaromir and
                  Balvan, Jan and
                  Provaznik, Ivo and
                  Kolar, Radim},
  title        = {{Annotated quantitative phase microscopy cell 
                   dataset of various adherent cell lines for
                   segmentation purposes}},
  month        = may,
  year         = 2021,
  note         = {{This work is supported by the Czech Science 
                   Foundation, project no. 18-24089S.}},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.5153251},
  url          = {https://doi.org/10.5281/zenodo.5153251}
}
```

[Source](https://zenodo.org/record/5153251#.YlAixn9Bzmg)

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