prikaz prve stranice dokumenta Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije
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master's thesis
Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije
Rijeka: University of Rijeka, Faculty of Engineering, 2018. urn:nbn:hr:190:029796
Bogović, Korino
University of Rijeka
Faculty of Engineering
Department of Automation and Electronics
Section of Electronics, Robotics and Automation

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

Cite this document

Bogović, K. (2018). Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:029796

Bogović, Korino. "Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:029796

Bogović, Korino. "Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije." Master's thesis, University of Rijeka, Faculty of Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:190:029796

Bogović, K. (2018). 'Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 05 May 2024, https://urn.nsk.hr/urn:nbn:hr:190:029796

Bogović K. Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2018 [cited 2024 May 05] Available at: https://urn.nsk.hr/urn:nbn:hr:190:029796

K. Bogović, "Detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:190:029796

Metadata
TitleDetekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije
Title (english)Detection of Urinary Bladder Cancer using Algorithms in Artificial Intelligence
AuthorKorino Bogović
MentorZlatan Car (mentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberLivio Šušnjić (član povjerenstva)
Committee memberAndrea Andrijašević (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2018-10-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Cilj ovog rada je detekcija karcinoma mokraćnog mjehura pomoću algoritama umjetne inteligencije na temelju slika dobivenih pomoću električnog mikroskopa. Konvolucijska neuronska mreža je odabrana kao algoritam koji će se koristiti za izvršavanje ovog zadatka. Provedena je usporedba 15 različitih struktura konvolucijskih neuronskih mreža, kako bi se pronašla optimalna struktura za izvršavanje ovog zadatka. Ispitan je utjecaj pojedinih parametara poput odabranog algoritma za optimizaciju parametara, stope učenja i aktivacijskih funkcija na performanse mreže. Na temelju dobivenih rezultata predložena je optimalna struktura konvolucijske neuronske mreže za izvršavanje cilja ovog rada.
Abstract (english)
The aim of this paper is to detect bladder cancer by using artificial intelligence algorithms based on images obtained by an electric microscope. Convolutional neural network is selected as the algorithm to be used to perform this task. A comparison of 15 different structures of the convolutional neural networks was performed, in order to find the optimal structure for performing this task. The influence of certain parameters such as the chosen optimization algorithm, learning rate, and activation functions, on the network performance was investigated. Based on the obtained results, the optimal structure of the convolutional neural network was proposed to accomplish the goal of this paper.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:029796
Study programmeTitle: Electrical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-10-17 10:11:19