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Differential Diagnosis in Breast Histopathology

  • D K Bose
  • H A Heathfield
  • N Kirkham
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 45)

Abstract

The problem of accuracy and consistency in the histological typing of breast disease has been addressed by the development of a decision support system, which assists the pathologist through the identification of important differential tests and ranking of competing diagnoses. The inference model embodied within the system is based upon the notion of a vertex covering of a hypergraph and the Kemeny social choice function. The hypergraph model is in sense ‘dual’ to that of the set covering model developed by Reggia and has several advantages over the set covering approach. Initial trials with the system have demonstrated the potential of the hypergraph model.

Keywords

Vertex Covering Breast Disease Minimum Cover Inference Model Preference List 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Bibliography

  1. [1].
    Heathfield HA. Differential diagnosis and decision support in histopathology. Ph.D. Thesis 1990, Brighton Polytechic.Google Scholar
  2. [2]
    Gondrian M and Minoux M. Graphs and algorithms. John Wiley and Sons 1979.Google Scholar
  3. [3].
    Reggia JA, Nau DS and Wang PY. Diagnostic expert systems based on a set covering model. Int J Man-Machine Studies 1983; 19: 437–60.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • D K Bose
    • 1
  • H A Heathfield
    • 2
  • N Kirkham
    • 3
  1. 1.IT Research InstituteBrighton PolytechnicUK
  2. 2.IBM UK Scientific CentreWinchesterUK
  3. 3.Royal Sussex County HospitalBrightonUK

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