Use of Artificial Immune Systems and Artificial Neural Networks in prostate cancer classification

Author

Ozsen, Serai ; Vural, Hasibe Cingilli

Author_Institution

Elektr.-Elektron. Muhendisligi Bolumu, Selcuk Univ., Konya, Turkey

fYear

2014

fDate

23-25 April 2014

Firstpage

87

Lastpage

90

Abstract

Before analysing cells in Laboratory in prostate cancer detection, a classification system can give valuable information about the cancer. In this study, classification of prostate cancer classification was realized by Artificial Immune Systems (AIS) and Artificial Neural Networks (ANN). 50 data were used in which 17 data belong to healty persons, 33 data belong to patients. Training-test data which were divided by 3-fold cross validation were applied to both system and 97.92% classification accuracy was obtained by AIS while ANN reached an accuracy of 100%.

Keywords

artificial immune systems; cancer; medical computing; neural nets; pattern classification; 3-fold cross validation; AIS; ANN; artificial immune systems; artificial neural networks; cancer information; classification accuracy; prostate cancer classification; prostate cancer detection; Artificial neural networks; Conferences; Immune system; Prostate cancer; Proteins; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2014 22nd

Conference_Location

Trabzon

Type

conf

DOI

10.1109/SIU.2014.6830172

Filename

6830172