Intelligent system for the automated diagnosis of histological images

  • Authors:

  • J. I. Estévez;J. F. Sigut;J. L. Sánchez;J. D. Piñeiro;S. Alayón;R. L. Marichal;J. M. Torres

  • Affiliations:

  • Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain;Department of Fund. and Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife, Spain

  • Venue:
  • AIC'04 Proceedings of the 4th WSEAS International Conference on Applied Informatics and Communications
  • Year:
  • 2004

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Abstract

The problem of diagnosing histological/cytological images is the main objective of this work. A system for the analysis of this kind of digital images is proposed. This system aims to systematize the image processing/machine vision/classification procedures needed to reproduce the physician interpretive abilities and collect them in standardized protocols both reproducible and of quantifiable performance. Flexible soft-computing techniques will be needed to reach an adequate performance at the level of image interpretation, while a knowledge-centric, object-oriented implementation approach will be preferable to hide the details of these procedures from the specialist. A case study of pathology diagnosis is proposed as illustration of the difficulties and the techniques that will be used in the system.