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Pregled bibliografske jedinice broj: 953344

Zbornik radova

Autori: Bogović, Korino; Lorencin, Ivan; Anđelić, Nikola; Blažević, Sebastijan; Smolčić, Klara; Španjol, Josip; Car, Zlatan
Naslov: ARTIFICIAL INTELLIGENCE-BASED METHOD FOR URINARY BLADDER CANCER DIAGNOSTIC
Izvornik: / Car, Zlatan ; Kudláček, Jan (ur.). - Zagreb : Faculty of Engineering, University of Rijeka , 2018. 51-53.
ISSN: 0184-9069
Skup: International Conference on Innovative Technologies, IN-TECH 2018
Mjesto i datum: Zagreb, Hrvatska, 05-07.09.2018.
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.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Kliničke medicinske znanosti
Puni text rada: 953344.Bogovic-Lorencin-Andelic-Blazevic-Smolcic-Spanjol-Car.pdf (tekst priložen 10. Ruj. 2018. u 17:43 sati)
Upisao u CROSBI: Nikola Anđelić (nandelic@riteh.hr), 10. Ruj. 2018. u 17:43 sati



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