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CRIC - Center for Recognition and Inspection of Cells

Our team is dedicated to research and development of software tools and organized cell image catalogues through automated cell morphometry and recognition using machine learning. Recent work show advancements on cervical cell analysis of images from SUS (Brazilian Universal Health System). Together, we have built analytical and data-driven models using datasets provided by the Federal University of Ouro Preto. Our cell database contains digital pictures from conventional Pap smears digitized and classified by UFOP-AMBAR.

Principal investigators:

  • Andrea G. C. Bianchi, Ph.D., Prof, Computer Science Dept, UFOP
  • Cláudia M. Carneiro, Ph.D., Prof, Pathology Dept , UFOP
  • Daniela M. Ushizima, Ph.D., Computational Research, Berkeley Lab e UC Berkeley
  • Fatima N. S. de Medeiros, Ph.D., Prof, Engineering Division - UFC

Collaborating researchers:

  • Alan Magalhaes Braga, M.Sc., UFC
  • Alessandra Gomes, Ph.D., Cytology/Pathology, UFOP
  • Daniel Silva Ferreira, M.Sc., Prof, IFCE
  • Flávio Henrique Duarte de Araújo, Ph.D., Prof, CS, UFC-UFPI
  • Geraldo Luis Bezerra Ramalho, Ph.D., Prof, IFCE
  • Jeova Farias Rocha Neto, M.Sc., Brown University
  • José Gerardo Fonteles Lopes, UFC
  • Mariana Trevisan Rezende, M.Sc., UFOP
  • Marcelo Marques Simões de Souza, Ph.D., Prof, UFC
  • Paulo Henrique Calaes Oliveira, M.Sc., CS, UFOP
  • Regis Cristiano Pinheiro Marquez, Ph.D., Prof, IFCE
  • Romuere Rodrigues Veloso e Silva, Ph.D., Prof, CS, UFC-UFPI

Support:

  • Brasil: CAPES, CNPQ, Science without Borders, FAPEMIG, PPSUS,
  • USA: BIDS, Moore-Sloan Foundation

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Pubtech 2018 - CRIC

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