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The reliability issue of computer-aided breast cancer diagnosis.

Authors
  • Kovalerchuk, B1
  • Triantaphyllou, E
  • Ruiz, J F
  • Torvik, V I
  • Vityaev, E
  • 1 Department of Computer Science, Central Washington University, Ellensburg, Washington 98926, USA.
Type
Published Article
Journal
Computers and biomedical research, an international journal
Publication Date
Aug 01, 2000
Volume
33
Issue
4
Pages
296–313
Identifiers
PMID: 10944406
Source
Medline
Language
English
License
Unknown

Abstract

This paper introduces a number of reliability criteria for computer-aided diagnostic systems for breast cancer. These criteria are then used to analyze some published neural network systems. It is also shown that the property of monotonicity for the data is rather natural in this medical domain, and it has the potential to significantly improve the reliability of breast cancer diagnosis while maintaining a general representation power. A central part of this paper is devoted to the representation/narrow vicinity hypothesis, upon which existing computer-aided diagnostic methods heavily rely. The paper also develops a framework for determining the validity of this hypothesis. The same framework can be used to construct a diagnostic procedure with improved reliability. Copyright 2000 Academic Press.

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