Rough sets and near sets in medical imaging: a review

  • Authors:

  • Aboul Ella Hassanien;Ajith Abraham;James F. Peters;Gerald Schaefer;Christopher Henry

  • Affiliations:

  • Information Technology Department, Faculty of Computers and Information, Cairo University, Orman, Giza, Egypt;Center for Quantifiable Quality of Service in Communication Systems, Norwegian University of Science and Technology, Trondheim, Norway and Machine Intelligence Research Labs, Scientific Network fo ...;Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada;Department of Engineering and Applied Science, Loughborough University, Loughborough, U.K.;Computational Intelligence Laboratory, Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada

  • Venue:
  • IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
  • Year:
  • 2009

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Abstract

This paper presents a review of the current literature on rough-set- and near-set-based approaches to solving various problems in medical imaging such as medical image segmentation, object extraction, and image classification. Rough set frameworks hybridized with other computational intelligence technologies that include neural networks, particle swarm optimization, support vectormachines, and fuzzy sets are also presented. In addition, a brief introduction to near sets and near images with an application to MRI images is given. Near sets offer a generalization of traditional rough set theory and a promising approach to solving the medical image correspondence problem as well as an approach to classifying perceptual objects by means of features in solving medical imaging problems. Other generalizations of rough sets such as neighborhood systems, shadowed sets, and tolerance spaces are also briefly considered in solving a variety of medical imaging problems. Challenges to be addressed and future directions of research are identified and an extensive bibliography is also included.