Neural Networks Based System for Cancer Diagnosis Support

Witold Jacak; Karin Pröll

doi:10.1007/978-3-642-27549-4_44

Neural Networks Based System for Cancer Diagnosis Support

Witold Jacak, Karin Pröll

Research Center Hagenberg

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Pages (from-to)	343-350
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	6927
Issue number	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27549-4_44
Publication status	Published - Feb 2012

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-642-27549-4_44

Cite this

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title = "Neural Networks Based System for Cancer Diagnosis Support",

abstract = "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.",

keywords = "Cancer diagnisis, Neural network system, Cancer diagnisis, Neural network system, cancer diagnosis support, neural network, tumor marker prediction",

author = "Witold Jacak and Karin Pr{\"o}ll",

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AU - Pröll, Karin

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AB - 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.

KW - Cancer diagnisis

KW - Neural network system

KW - Cancer diagnisis

KW - Neural network system

KW - cancer diagnosis support

KW - neural network

KW - tumor marker prediction

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U2 - 10.1007/978-3-642-27549-4_44

DO - 10.1007/978-3-642-27549-4_44

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SP - 343

EP - 350

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART 1

ER -

Neural Networks Based System for Cancer Diagnosis Support

Abstract

Keywords

UN SDGs

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