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undergraduate thesis
Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:099438
Herkov, Antun
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Herkov, A. (2021). Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:099438

Herkov, Antun. "Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:099438

Herkov, Antun. "Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:099438

Herkov, A. (2021). 'Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 28 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:099438

Herkov A. Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 28] Available at: https://urn.nsk.hr/urn:nbn:hr:168:099438

A. Herkov, "Duboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:099438

Metadata
TitleDuboko učenje ReLayNet arhitekturom za segmentaciju slojeva retine
Title (english)Deep Learning Using ReLayNet for Retinal Layer Segmentation
AuthorAntun Herkov
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberIvana Matovinović (član povjerenstva)
Committee memberLuka Posilović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-06-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom je radu opisana state-of-the-art metoda za segmentaciju slojeva retine i motivacija iza nje. Kroz prilagodbu metode domaćoj bazi podataka analizirane su performanse modela primijenjenog na bazu podataka pacijenata koji boluju od senilne makularne degeneracije. U sklopu rada provedeno je nekoliko eksperimenata te analiziran značaj pojedinih komponenti funkcije pogreške i težina pridijeljenih slojevima i granicama između slojeva retine.
Abstract (english)
In this paper, the motivation behind the problem of retinal layer segmentation is explained and a state-of-the-art method for this problem is described. Through adjustment of the method to our dataset, the performance of the model was analysed when applied to a dataset of B-scans of patients suffering from age-related macular degeneration. A number of experiments were conducted as part of this paper and the importance of different loss function components and weights given to retinal layers and layer borders was analysed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:099438
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 08:54:00