lapix/CCAgT

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The declared licence (cc-by-nc-3.0) is classified as having use restrictions.

Declared licence: cc-by-nc-3.0, from the tagEvidence: README.md at 2f9aa77
Licence files: No licence file at the top level of the repositoryEvidence: file list at 2f9aa77
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

% Dataset oficial page
@misc{CCAgTDataset,
  doi = {10.17632/WG4BPM33HJ.2},
  url = {https://data.mendeley.com/datasets/wg4bpm33hj/2},
  author =  {Jo{\~{a}}o Gustavo Atkinson Amorim and Andr{\'{e}} Vict{\'{o}}ria Matias and Tainee Bottamedi and Vin{\'{i}}us Sanches and Ane Francyne Costa and Fabiana Botelho De Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},
  title = {CCAgT: Images of Cervical Cells with AgNOR Stain Technique},
  publisher = {Mendeley},
  year = {2022},
  copyright = {Attribution-NonCommercial 3.0 Unported}
}


% Dataset second version
% pre-print:
@article{AtkinsonAmorim2022,
  doi = {10.2139/ssrn.4126881},
  url = {https://doi.org/10.2139/ssrn.4126881},
  year = {2022},
  publisher = {Elsevier {BV}},
  author = {Jo{\~{a}}o Gustavo Atkinson Amorim and Andr{\'{e}} Vict{\'{o}}ria Matias and Allan Cerentini and Fabiana Botelho de Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},
  title = {Semantic Segmentation for the Detection of Very Small Objects on Cervical Cell Samples Stained with the {AgNOR} Technique},
  journal = {{SSRN} Electronic Journal}
}


% Dataset first version
% Link: https://arquivos.ufsc.br/d/373be2177a33426a9e6c/
% Paper:
@inproceedings{AtkinsonSegmentationAgNORCBMS2020,  
    author={Jo{\~{a}}o Gustavo Atkinson Amorim and Luiz Antonio Buschetto Macarini and Andr{\'{e}} Vict{\'{o}}ria Matias and Allan Cerentini and Fabiana Botelho De Miranda Onofre and Alexandre Sherlley Casimir

All datasets marked Use restrictions | JSON

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dataset_licence({ "id": "lapix/CCAgT" })
signal: "restrictive"
stated_licence: "cc-by-nc-3.0"
sources: 0