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A CNN-based approach for joint segmentation and quantification of nuclei and NORs in AgNOR-stained images

  • Published:2023-12 Issue: Volume:242 Page:107788
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Rönnau Maikel M.ORCID,Lepper Tatiana W.ORCID,Amaral Luara N.ORCID,Rados Pantelis V.ORCID,Oliveira Manuel M.ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference48 articles.

1. A novel approach on segmentation of agnor-stained cytology images using deep learning;Amorim,2020

2. High dynamic range images as a basis for detection of argyrophilic nucleolar organizer regions under varying stain intensities;Bell,2006

3. The OpenCV library;Bradski;Dr. Dobb's J. Softw. Tools,2000

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