Title :
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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830172