A perceptual similarity method by pairwise comparison in a medical image case

  • Authors:
  • M. Luisa Durán;Pablo G. Rodríguez;J. Pablo Arias-Nicolás;Jacinto Martín;Carlos Disdier

  • Affiliations:
  • Escuela Politécnica, 10071, Cáceres, Spain;Escuela Politécnica, 10071, Cáceres, Spain;Escuela Politécnica, 10071, Cáceres, Spain;Facultad de Ciencias, 06071, Badajoz, Spain;Hospital San Pedro de Alcántara, 10003, Cáceres, Spain

  • Venue:
  • Machine Vision and Applications
  • Year:
  • 2010

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Abstract

The evolution of image techniques in medicine has improved decision making based on physicians’ experience by means of computer-aided diagnosis (CAD). This paper focuses on the development of content-based image retrieval (CBIR) and CAD techniques applied to bronchoscopies and according to different pathologies. A novel pairwise comparison method based on binary logistic regression is developed to determine those images must alike to a new image from incomplete property information, after accounting for the physicians’ appreciation of the image similarity. This method is particularly useful when problems with both a large number of features and few images are involved.