Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis (CROSBI ID 275376)
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Podaci o odgovornosti
Lorencin, Ivan ; Anđelić, Nikola ; Španjol, Josip ; Car, Zlatan
engleski
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
In this paper, the urinary bladder cancer diagnostic method which is based on Multi-Layer Perceptron and Laplacian edge detector is presented. The aim of this paper is to investigate the implementation possibility of a simpler method (Multi-Layer Perceptron) alongside commonly used methods, such as Deep Learning Convolutional Neural Networks, for the urinary bladder cancer detection. The dataset used for this research consisted of 1997 images of bladder cancer and 986 images of non-cancer tissue. The results of the conducted research showed that using Multi-Layer Perceptron trained and tested with images pre- processed with Laplacian edge detector are achieving AUC value up to 0.99. When different image sizes are compared it can be seen that the best results are achieved if 50*50 and 100*100 images were used.
Artificial intelligence ; Image pre-processing ; Laplacian edge detector ; Multi-layer perceptron ; Urinary bladder cancer
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Podaci o izdanju
102
2020.
101746
16
objavljeno
1873-2860
10.1016/j.artmed.2019.101746
Povezanost rada
Elektrotehnika, Kliničke medicinske znanosti, Računarstvo, Temeljne tehničke znanosti