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An Intelligent System for Computer-Aided Ovarian Tumor Diagnosis

  • Krzysztof Dyczkowski
  • Andrzej Wójtowicz
  • Patryk Żywica
  • Anna Stachowiak
  • Rafał Moszyński
  • Sebastian Szubert
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 323)

Abstract

This article describes the fundamentals of an intelligent decision support system for the diagnosis of ovarian tumors. The system is designed to support diagnosis by less experienced gynecologists, and to gather data for continuous improvement of the quality of diagnosis. The theoretical basis for the construction of the system is the IF-sets framework, used to aggregate multiple decision-making methods, and simultaneously providing information about positive and negative diagnosis of a given tumor type.

Keywords

Ovarian Tumor Intelligent System Diagnostic Process Adnexal Mass Adnexal Tumor 
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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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Krzysztof Dyczkowski
    • 1
  • Andrzej Wójtowicz
    • 1
  • Patryk Żywica
    • 1
  • Anna Stachowiak
    • 1
  • Rafał Moszyński
    • 2
  • Sebastian Szubert
    • 2
  1. 1.Faculty of Mathematics and Computer ScienceAdam Mickiewicz UniversityPoznańPoland
  2. 2.Division of Gynecological SurgeryPoznan University of Medical SciencesPoznańPoland

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