Unsupervised method for normalization of hematoxylin-eosin stain in histological images.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published Date: Aug 14, 2019

Abstract

Histological images stained with hematoxylin-eosin are widely used by pathologists for cancer diagnosis. However, these images can have color variations that highly influence the histological image processing techniques. To deal with this potential limitation, normalization methods are useful for color correction. In this paper, a histological image color normalization is presented by considering the biological and hematoxylin-eosin properties. To this end, the stain representation of a reference image was applied in place of the original images representation, allowing the preservation of histological structures. This proposal was evaluated on histological images with great variations of contrast, and both visual and quantitative analyzes yielded promising results.

Authors

  • Thaína A Azevedo Tosta
    Center of Mathematics, Computing and Cognition, Federal University of ABC, Av. dos Estados, 5001, 09210-580 Santo André, São Paulo, Brazil. Electronic address: tosta.thaina@gmail.com.
  • Paulo Rogério de Faria
    Department of Histology and Morphology, Institute of Biomedical Science, Federal University of Uberlândia, Av. Amazonas, S/N, 38405-320 Uberlândia, Minas Gerais, Brazil. Electronic address: paulo.faria@ufu.br.
  • João Paulo Silva Servato
    School of Dentistry, University of Uberaba, Av. Nenê Sabino, 1801, 38055-500 Uberaba, Minas Gerais, Brazil. Electronic address: jpservato@gmail.com.
  • Leandro Alves Neves
    Department of Computer Science and Statistics, São Paulo State University, R. Cristóvão Colombo, 2265, 15054-000 São José do Rio Preto, São Paulo, Brazil. Electronic address: neves.leandro@gmail.com.
  • Guilherme Freire Roberto
    Faculty of Computer Science, Federal University of Uberlândia, Av. João Naves de Ávila, 2121, 38400-902 Uberlândia, Minas Gerais, Brazil. Electronic address: guilherme.freire@unesp.br.
  • Alessandro Santana Martins
    Federal Institute of Triângulo Mineiro, R. Belarmino Vilela Junqueira S/N, 38305-200 Ituiutaba, Minas Gerais, Brazil. Electronic address: alessandro@iftm.edu.br.
  • Marcelo Zanchetta do Nascimento
    Center of Mathematics, Computing and Cognition, Federal University of ABC, Av. dos Estados, 5001, 09210-580 Santo André, São Paulo, Brazil; Faculty of Computer Science, Federal University of Uberlândia, Av. João Naves de Ávila, 2121, 38400-902 Uberlândia, Minas Gerais, Brazil. Electronic address: marcelo.zanchetta@gmail.com.

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