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Pregled bibliografske jedinice broj: 953344

ARTIFICIAL INTELLIGENCE-BASED METHOD FOR URINARY BLADDER CANCER DIAGNOSTIC


Bogović, Korino; Lorencin, Ivan; Anđelić, Nikola; Blažević, Sebastijan; Smolčić, Klara; Španjol, Josip; Car, Zlatan
ARTIFICIAL INTELLIGENCE-BASED METHOD FOR URINARY BLADDER CANCER DIAGNOSTIC // International Conference on Innovative Technologies, IN-TECH 2018 / Car, Zlatan ; Kudláček, Jan (ur.).
Zagreb: Faculty of Engineering, University of Rijeka, 2018. str. 51-53 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
ARTIFICIAL INTELLIGENCE-BASED METHOD FOR URINARY BLADDER CANCER DIAGNOSTIC

Autori
Bogović, Korino ; Lorencin, Ivan ; Anđelić, Nikola ; Blažević, Sebastijan ; Smolčić, Klara ; Španjol, Josip ; Car, Zlatan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
International Conference on Innovative Technologies, IN-TECH 2018

Mjesto i datum
Zagreb, Hrvatska, 05-07.09.2018.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Artificial intelligence, bladder cancer, convolutional neural networks, digital filters.

Sažetak
Bladder cancer is a disease that involves abnormal urinary bladder cell growth. The aim of this paper is to describe a diagnostic method of detecting bladder cancer using artificial intelligence. The first step was to obtain a sufficient image data set, which is achieved by using appropriate image pre- processing algorithms. These algorithms were created using digital filters and various statistical methods. The convolutional neural network model, is being used for feature extraction and bladder cancer detection. Aforementioned image data set is divided into two parts which are used for training and testing convolutional neural network. Based on training and testing data the accuracy of neural network was investigated.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Kliničke medicinske znanosti