prikaz prve stranice dokumenta Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
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Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
Artificial Intelligence in Medicine, 102 (2020); 1-16. https://doi.org/10.1016/j.artmed.2019.101746
Lorencin, Ivan; Anđelić, Nikola; Španjol, Josip; Car, Zlatan

Institucijski repozitorij: Repozitorij Medicinskog fakulteta u Rijeci

Citirajte ovaj rad

Lorencin, I., Anđelić, N., Španjol, J. i Car, Z. (2020). Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis. Artificial Intelligence in Medicine, 102., 1-16. doi: 10.1016/j.artmed.2019.101746

Lorencin, Ivan, et al. "Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis." Artificial Intelligence in Medicine, vol. 102, 2020, str. 1-16. https://doi.org/10.1016/j.artmed.2019.101746

Lorencin, Ivan, Nikola Anđelić, Josip Španjol i Zlatan Car. "Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis." Artificial Intelligence in Medicine 102 (2020): 1-16. https://doi.org/10.1016/j.artmed.2019.101746

Lorencin, I., et al. (2020) 'Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis', Artificial Intelligence in Medicine, 102, str. 1-16. doi: 10.1016/j.artmed.2019.101746

Lorencin I, Anđelić N, Španjol J, Car Z. Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis. Artificial Intelligence in Medicine [Internet]. 2020. [pristupljeno 09.11.2024.];102:1-16. doi: 10.1016/j.artmed.2019.101746

I. Lorencin, N. Anđelić, J. Španjol i Z. Car, "Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis", Artificial Intelligence in Medicine, vol. 102, str. 1-16, 2020. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:143743. [Citirano: 09.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:184:143743
Podaci o radu
Naslov (engleski)Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
AutorIvan Lorencin
MBZ: 380265
AutorNikola Anđelić
MBZ: 357554
AutorJosip Španjol
AutorZlatan Car
MBZ: 259465
Autorova ustanovaSveučilište u Rijeci
Medicinski fakultet
(Katedra za urologiju)
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Temeljne tehničke znanosti
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Računarstvo
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Elektrotehnika
Sažetak (engleski)
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.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaArtificial Intelligence in Medicine
Brojčani podacivol. 102, str. 1-16
p-ISSN1873-2860
DOIhttps://doi.org/10.1016/j.artmed.2019.101746
URN:NBNurn:nbn:hr:184:143743
Datum objave publikacije2020
URL dokumentahttp://bib.irb.hr/1050220
Vrsta resursaTekst
Prava pristupaInstitucijski pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2022-03-15 13:47:48