prikaz prve stranice dokumenta Klasifikacija tumora mozga pomoću metoda dubokog učenja
No public access
undergraduate thesis
Klasifikacija tumora mozga pomoću metoda dubokog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:833103
Vukelić, Elena
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Vukelić, E. (2019). Klasifikacija tumora mozga pomoću metoda dubokog učenja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:833103

Vukelić, Elena. "Klasifikacija tumora mozga pomoću metoda dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:833103

Vukelić, Elena. "Klasifikacija tumora mozga pomoću metoda dubokog učenja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:833103

Vukelić, E. (2019). 'Klasifikacija tumora mozga pomoću metoda dubokog učenja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:833103

Vukelić E. Klasifikacija tumora mozga pomoću metoda dubokog učenja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 July 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:833103

E. Vukelić, "Klasifikacija tumora mozga pomoću metoda dubokog učenja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:833103

Metadata
TitleKlasifikacija tumora mozga pomoću metoda dubokog učenja
Title (english)Classification of Brain Tumors Using Deep Learning Methods
AuthorElena Vukelić
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu objašnjen je pojam dubokog učenja i osnovne značajke bioloških i umjetnih neuronskih mreža. Objašnjene su dvije vrste neuronskih mreža, duboke i konvolucijske te je dan primjer jedne konvolucijske neuronske mreže. Nadalje je iskazan postupak učenja mreža te je ukazano na neke probleme koji se mogu pojaviti prilikom učenja. U okviru tog poglavlja također je prikazan i Backpropagation algoritam. Nakon toga objašnjen je stroj s potpornim vektorima i njegova namjena. Na kraju je proveden eksperiment na skupu slika triju tipova tumora mozga i izneseni su rezultati klasifikacije.
Abstract (english)
This work describes deep learning and basic features of biological and artificial neural networks. It describes two types of neural networks, deep and convolutional, and one example of convolutional neural network is given. Furthermore, it explains process of training neural networks along with potetntial problems that can occur. In that chapter is also explained Backpropagation algorithm. After that is described support vector machine along with its usage. The final part of work shows experiment for which was used data set which has three types of brain tumors and result of classification is shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:833103
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2020-01-07 23:02:09