prikaz prve stranice dokumenta Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura
Access restricted to students and staff of home institution
master's thesis
Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura
Rijeka: University of Rijeka, Faculty of Engineering, 2019. urn:nbn:hr:190:254557
Barišić, Borna
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

Barišić, B. (2019). Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura (Master's thesis). Rijeka: University of Rijeka, Faculty of Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:190:254557

Barišić, Borna. "Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:254557

Barišić, Borna. "Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura." Master's thesis, University of Rijeka, Faculty of Engineering, 2019. https://urn.nsk.hr/urn:nbn:hr:190:254557

Barišić, B. (2019). 'Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura', Master's thesis, University of Rijeka, Faculty of Engineering, accessed 18 February 2025, https://urn.nsk.hr/urn:nbn:hr:190:254557

Barišić B. Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura [Master's thesis]. Rijeka: University of Rijeka, Faculty of Engineering; 2019 [cited 2025 February 18] Available at: https://urn.nsk.hr/urn:nbn:hr:190:254557

B. Barišić, "Primjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura", Master's thesis, University of Rijeka, Faculty of Engineering, Rijeka, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:190:254557

Metadata
TitlePrimjena detektora kontura kod algoritama za dijagnostiku karcinoma mokraćnog mjehura
Title (english)Application of contour detectors in algorithms for diagnosis of bladder cancer
AuthorBorna Barišić
MentorZlatan Car (mentor)
Committee memberViktor Sučić (predsjednik povjerenstva)
Committee memberSaša Vlahinić (član povjerenstva)
Committee memberRene Prenc (član povjerenstva)
GranterUniversity of Rijeka
Faculty of Engineering
(Department of Automation and Electronics)
(Section of Electronics, Robotics and Automation)
Rijeka
Defense date and country2019-09-24, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Automation and Robotics
Abstract
Rad se bavi temom primjene neuronske mreˇze za klasifikaciju slika mokra´cnog mjehura na dvije klase - karcinom i zdravo tkivo, sve u svrhu poboljˇsanja dijagnosticiranja karcinoma. Vrˇse se razna testiranja na skupovima podataka kako bi se pronaˇslo optimalno rjeˇsenje, tj. ostvarila ˇsto toˇcnija klasifikacija. Testiranje se vrˇsi na augmentiranim i neaugmentiranim skupovima podataka primjenjuju´ci razliˇcite vrste interpolacijskih metoda za skaliranje slika koji se filtriraju s filtrima za detekciju rubova te prilaˇzu kao ulazni podatak u neuronsku mreˇzu. Za programiranje se koristi Python 3 programski jezik s integriranim razvojnim okruˇzenjem PyCharm.
Abstract (english)
This paper deals with the subject of usig an artificial intelligence to classify pictures of a bladder in two classes - cancer and healty tissue, all in purpose to improve diagnostics of cancer. Various tests are carried out on the datasets in order to find optimal solution, ie to achieve the most accurate classification. Testing is performed on augmented and non-augmented datasets using different types of image interpolation scalling methods that are filtered with edge detection filters and sent as an input to the neural network. Python programming language with integrated PyCharm development environment is used for programming.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:190:254557
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 on2020-07-02 12:46:11