A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning

João Gustavo Atkinson Amorim, Luiz Antonio Buschetto Macarini, André Victória Matias, Allan Cerentini, Fabiana Botelho de Miranda Onofre, Alexandre Sherlley Casimiro Onofre, Aldo von Wangenheim. A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning. In Alba García Seco de Herrera, Alejandro Rodríguez González, K. C. Santosh, Zelalem Temesgen, Bridget Kane, Paolo Soda, editors, 33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020. pages 552-557, IEEE, 2020. [doi]

@inproceedings{AmorimMMCOOW20,
  title = {A Novel Approach on Segmentation of AgNOR-Stained Cytology Images Using Deep Learning},
  author = {João Gustavo Atkinson Amorim and Luiz Antonio Buschetto Macarini and André Victória Matias and Allan Cerentini and Fabiana Botelho de Miranda Onofre and Alexandre Sherlley Casimiro Onofre and Aldo von Wangenheim},
  year = {2020},
  doi = {10.1109/CBMS49503.2020.00110},
  url = {https://doi.org/10.1109/CBMS49503.2020.00110},
  researchr = {https://researchr.org/publication/AmorimMMCOOW20},
  cites = {0},
  citedby = {0},
  pages = {552-557},
  booktitle = {33rd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2020, Rochester, MN, USA, July 28-30, 2020},
  editor = {Alba García Seco de Herrera and Alejandro Rodríguez González and K. C. Santosh and Zelalem Temesgen and Bridget Kane and Paolo Soda},
  publisher = {IEEE},
  isbn = {978-1-7281-9429-5},
}