Bladder cancer detection: Integration of feature extraction algorithms and MLP (CROSBI ID 699389)
Prilog sa skupa u zborniku | kratko priopćenje
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