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undergraduate thesis
Modeliranje trodimenzionalnih slika srca
2019. urn:nbn:hr:168:833054
Lasić, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

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Lasić, D. (2019). Modeliranje trodimenzionalnih slika srca (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:833054

Lasić, Domagoj. "Modeliranje trodimenzionalnih slika srca." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:833054

Lasić, Domagoj. "Modeliranje trodimenzionalnih slika srca." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:833054

Lasić, D. (2019). 'Modeliranje trodimenzionalnih slika srca', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:833054

Lasić D. Modeliranje trodimenzionalnih slika srca [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 April 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:833054

D. Lasić, "Modeliranje trodimenzionalnih slika srca", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:833054

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Metadata
TitleModeliranje trodimenzionalnih slika srca
Title (english)Modeling of 3D Cardiac Images
AuthorDomagoj Lasić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberJelena Ivanković (član povjerenstva)
Committee memberKarlo Koščević (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
Ovaj završni rad obrađuje temu treniranja neuronskih mreža u svrhu budućeg modeliranja trodimenzionalnih modela srca što ima izniman značaj u području neinvazivnog snimanja i vizualizacije ljudskih organskih sustava u medicini. Obrađeni su teorijski aspekti neuronskih mreža te posebno generativnih suprotstavljenih mreža (Generative Adversarial Networks, GAN) koji su korišteni u implementaciji Wasserstein generativne mreže koja proizvodi nove slikovne prikaze na temelju postojećih.Također, prikazan je sažet pregled područja strojnog učenja kao sveobuhvatnijeg skupa algoritama učenja.
Abstract (english)
This final paper deals with training neural networks for three-dimensional heart modelling, which is of great importance in the field of non-invasive imaging and visualization of human organ systems in medicine. The theoretical aspects of neural networks and Generative Adversarial Networks (GAN) were described and were used in the implementation of a generative network that produces new images based on existing ones. Also, a summarized overview of machine learning is presented as a more comprehensive set of learning algorithms.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:833054
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
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Created on2020-01-07 19:37:54