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

Publikation: Beitrag in Fachzeitschrift › Artikel › Begutachtung

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.

Originalsprache	Englisch
Seiten (von - bis)	343-350
Seitenumfang	8
Fachzeitschrift	Lecture Notes in Computer Science
Jahrgang	6927
Ausgabenummer	PART 1
DOIs	https://doi.org/10.1007/978-3-642-27549-4_44
Publikationsstatus	Veröffentlicht - Feb. 2012

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

Schlagwörter

Cancer diagnisis
Neural network system

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

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ECAST2011

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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

UR - https://www.scopus.com/pages/publications/84856833996

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

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

M3 - Article

SN - 0302-9743

VL - 6927

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

UN SDGs

Schlagwörter

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