prikaz prve stranice dokumenta Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
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Scientific paper - Original scientific paper
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

Institutional repository: Repository of the University of Rijeka, Faculty of Medicine

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Lorencin, I., Anđelić, N., Španjol, J. & 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, pp. 1-16. https://doi.org/10.1016/j.artmed.2019.101746

Lorencin, Ivan, Nikola Anđelić, Josip Španjol and 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, pp. 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 [cited 2024 May 12];102:1-16. doi: 10.1016/j.artmed.2019.101746

I. Lorencin, N. Anđelić, J. Španjol and Z. Car, "Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis", Artificial Intelligence in Medicine, vol. 102, pp. 1-16, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:184:143743. [Accessed: 12 May 2024]

Metadata
Title (english)Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
AuthorIvan Lorencin
MBZ: 380265
AuthorNikola Anđelić
MBZ: 357554
AuthorJosip Španjol
AuthorZlatan Car
MBZ: 259465
Author's institutionUniversity of Rijeka
Faculty of Medicine
(Department of Urology)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleArtificial Intelligence in Medicine
Numberingvol. 102, pp. 1-16
p-ISSN1873-2860
DOIhttps://doi.org/10.1016/j.artmed.2019.101746
URN:NBNurn:nbn:hr:184:143743
Publication2020
Document URLhttp://bib.irb.hr/1050220
Type of resourceText
Access conditionsInstitutional access
Terms of useLicence In copyright icon
Created on2022-03-15 13:47:48