prikaz prve stranice dokumenta Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom
No public access
undergraduate thesis
Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:341793
Šalja, Ardita
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Šalja, A. (2019). Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:341793

Šalja, Ardita. "Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:341793

Šalja, Ardita. "Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:341793

Šalja, A. (2019). 'Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:341793

Šalja A. Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:341793

A. Šalja, "Segmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:341793

Metadata
TitleSegmentacija trodimenzionalnih slika srca dubokom neuronskom mrežom
Title (english)Segmentation of Three-Dimensional Cardiac Images Using Deep Neural Network
AuthorArdita Šalja
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberJelena Ivanković (član povjerenstva)
Committee memberVedran Stipetić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sklopu ovog rada objašnjene su umjetne neuronske mreže s naglaskom na konvolucijske duboke neuronske mreže. Objašnjen je proces učenja neuronske mreže kao i korištene funkcije gubitka, regularizacije i problemi pri učenju. Predstavljeni su hiperparametri i optimalan odabir istih. Odabrana je prigodna arhitektura koja se temelji na konvolucijskim mrežama za problem semantičke segmentacije te je izvedena i modificirana implementacije iste. Na kraju rada prikazani su rezultati i moguće daljnje preinake za kvalitetniju segmentaciju.
Abstract (english)
In this paper we introduced artificial neural networks with focus on deep convolutional neural networks. We described the learning process of a neural network as well as loss functions, regularizations and problems faced in the process of learning. We introduced hyperparameters and choosing their optimal values. We chose suitable architecture based on convolutional neural networks for problem of semantic segmentation and we implemented given architecture. In the end we presented the results and possible modifications for better segmentation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:341793
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 22:15:25