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master's thesis
Pouzdana klasifikacija tumorskih markera
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:599739
Očić, Nikolina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Očić, N. (2015). Pouzdana klasifikacija tumorskih markera (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:599739

Očić, Nikolina. "Pouzdana klasifikacija tumorskih markera." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:599739

Očić, Nikolina. "Pouzdana klasifikacija tumorskih markera." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:599739

Očić, N. (2015). 'Pouzdana klasifikacija tumorskih markera', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:599739

Očić N. Pouzdana klasifikacija tumorskih markera [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:599739

N. Očić, "Pouzdana klasifikacija tumorskih markera", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:599739

Metadata
TitlePouzdana klasifikacija tumorskih markera
Title (english)Reliable classification of tumor markers
AuthorNikolina Očić
MentorDamir Seršić (mentor)
Committee memberDamir Seršić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberAna Sović Kržić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Predstavljena je i opisana problematika ranog otkrivanja tumora te je opisana problematika tumora jajnika i prostate kao središta razvijenog sustava. Opisana je važnost razvijenog sustava kao pomoći za rano otkrivanje tumora. Prikazan je format ulaznih podataka te objašnjena metoda za dobivanje istih. Razvijen je sustav koji uz pomoć metoda za obradu signala te strojnog učenja klasificira ulazne podatke u kategorije zdravlja. Objašnjena je metoda korištena za obradu podataka te metode korištene za evaluaciju istih. Također je temeljito objašnjena metoda korištena za izgradnju modela klasifikacije. Prikazani su i objašnjeni dobiveni rezultati u obje grupe tumora.
Abstract (english)
The problem of early cancer detection is presented and described. The problems of ovary and prostate cancer, as they are the center of developed system, are also described. Importance of developed system as a helping tool for early cancer detection is presented. Format of input data and corresponding method of data acquiring are presented. Developed system, which is based upon methods of signal processing and machine learning, classifies input data into health categories. Method for signal processing and multiple methods for evaluating data are explained. Also, model for classification is thoroughly explained. Obtained results are shown and explained for both cancer groups.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:599739
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2018-02-06 10:58:29