Neural Networks Based System for Cancer Diagnosis Support

Witold Jacak, Karin Pröll

Research output: Contribution to journalArticlepeer-review


The paper presents the analysis of two different approaches for a system to support cancer diagnosis. The first one uses only tumor marker data containig missing values to predict cancer occurrence and the second one also includes standard blood parameters. Both systems are based on several heterogeneous artificial neural networks for estimating missing values of tumor markers and they finally caluculate possibilities of different tumor diseases.

Original languageEnglish
Pages (from-to)343-350
Number of pages8
JournalLecture Notes in Computer Science
Issue numberPART 1
Publication statusPublished - Feb 2012


  • Cancer diagnisis
  • Neural network system
  • cancer diagnosis support
  • neural network
  • tumor marker prediction


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