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undergraduate thesis
Semantička segmentacija organa u slikama magnetske rezonancije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:019898
Merćep, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Merćep, L. (2021). Semantička segmentacija organa u slikama magnetske rezonancije (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:019898

Merćep, Luka. "Semantička segmentacija organa u slikama magnetske rezonancije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:019898

Merćep, Luka. "Semantička segmentacija organa u slikama magnetske rezonancije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:019898

Merćep, L. (2021). 'Semantička segmentacija organa u slikama magnetske rezonancije', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:019898

Merćep L. Semantička segmentacija organa u slikama magnetske rezonancije [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:168:019898

L. Merćep, "Semantička segmentacija organa u slikama magnetske rezonancije", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:019898

Metadata
TitleSemantička segmentacija organa u slikama magnetske rezonancije
Title (english)Semantic segmentation of human organs in magnetic resonance images
AuthorLuka Merćep
MentorSiniša Šegvić (mentor)
Committee memberSiniša Šegvić (predsjednik povjerenstva)
Committee memberPetra Bevandić (član povjerenstva)
Committee memberMatej Grcić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Primjena tehnologije u medicini sve je češća i ovaj rad bavi se segmentacijom tkiva prostate od okolnog tkiva u slikama magnetske rezonancije. Semantička segmentacija jedan je od zadataka računalnog vida. Ovaj rad primjenjuje tehnike dubokog učenja koje su se pokazale uspješnima u rješavanju problema semantičke segmentacije. Primarno su to rezidualni konvolucijski modela i konvolucijski modeli s ljestvičastim naduzorkovanjem. U ovom radu korišteni su ovi modeli u području semantičke segmentacije slika magnetske rezonancije na skupu podataka PROMISE12. Skup podataka CamVid korišten je kao skup podataka za validaciju arhitekture modela prije no što su isti modeli bili korišteni na skupu podataka PROMISE12.
Abstract (english)
Application of technology in medicine is becoming more common and this paper is exploring segmentation of prostate tissue from the surrounding tissue in magnetic resonance images. Semantic segmentation is one of the problems of computer vision. This paper applies techniques of deep learning that have proved to be successful in semantic segmentation problems. Primarily those are residual models and models with ladder-style upsampling. In this paper, those models were used in semantic segmentation of magnetic resonance images on the PROMISE12 data set. CamVid dataset was used as a dataset for model architecture validation before using those models on the PROMISE12 dataset.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:019898
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 on2023-01-14 21:10:26