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master's thesis
Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:696492
Petrušić, Nikola
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Petrušić, N. (2020). Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:696492

Petrušić, Nikola. "Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:696492

Petrušić, Nikola. "Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:696492

Petrušić, N. (2020). 'Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:696492

Petrušić N. Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 May 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:696492

N. Petrušić, "Trodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:696492

Metadata
TitleTrodimenzionalni pristup za segmentaciju slojeva retine dubokim učenjem
Title (english)Three-dimensional Approach to Deep Learning for Retinal Layer Segmentation
AuthorNikola Petrušić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Razvoj tehnologije sa sobom direktno povlači razvoj mnogih drugih područja kao što je medicina. Nedavnim ubrzanim razvojem strojnog i dubokog učenja, računala uspijevaju izvršavati visoko apstraktne zadatke iznad razine ljudskih sposobnosti. Ovaj rad opisuje segmentaciju medicinskih OCT slika mrežnice oka koristeći duboko učenje te uspoređuje dvodimenzionalni i trodimenzionalni pristup tom problemu.
Abstract (english)
Development of modern technology causes development of other fields of study such as medical sciences. With the recent fast-paced development of machine and deep learning, computers are able to perform highly abstract tasks on levels higher than human capability. This paper proposes a solution for segmentation of medical OCT images of the retina and also compares two-dimensional approach with the three- dimensional approach to that problem.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:696492
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 13:29:37