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Bladder cancer detection: Integration of feature extraction algorithms and MLP (CROSBI ID 699389)

Prilog sa skupa u zborniku | kratko priopćenje

Musulin, Jelena ; Smolcic, Klara ; Štifanic, Daniel ; Španjol, Josip ; Car, Zlatan Bladder cancer detection: Integration of feature extraction algorithms and MLP // IWDS 2020 / Lončarić, Sven (ur.). Zagreb: Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, 2020. str. 43-45

Podaci o odgovornosti

Musulin, Jelena ; Smolcic, Klara ; Štifanic, Daniel ; Španjol, Josip ; Car, Zlatan

engleski

Bladder cancer detection: Integration of feature extraction algorithms and MLP

Bladder cancer is the most common tumor of the urinary tract. On average, about 550, 000 cases of bladder cancer are diagnosed each year, and except for skin tumors, bladder cancer is the ninth most common malignancy in both sexes. Early detection of bladder cancer can increase the chance of survival among patients, but new technologies could be time-consuming and expensive. For this reason, image processing techniques integrated with Artificial Intelligence (AI) tools are widely used in different medical fields and achieve high accuracy.

feature extraction algorithms, MLP, Bladder cancer

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Podaci o prilogu

43-45.

2020.

objavljeno

Podaci o matičnoj publikaciji

Lončarić, Sven

Zagreb: Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave

Podaci o skupu

5th International Workshop on Data Science (IWDS 2020)

predavanje

24.11.2020-24.11.2020

Zagreb, Hrvatska

Povezanost rada

Računarstvo, Temeljne medicinske znanosti