Ozsen, SeralCingilli Vural, Hasibe2020-03-262020-03-262014978-1-4799-4874-12165-0608https://hdl.handle.net/20.500.12395/3126622nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYBefore 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%.trinfo:eu-repo/semantics/closedAccessConference Object8790WOS:000356351400002N/A