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undergraduate thesis
Duboka neuronska mreža za segmentaciju slojeva retine
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:431565
Salković, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Salković, M. (2020). Duboka neuronska mreža 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:168:431565

Salković, Matej. "Duboka neuronska mreža za segmentaciju slojeva retine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:431565

Salković, Matej. "Duboka neuronska mreža za segmentaciju slojeva retine." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:431565

Salković, M. (2020). 'Duboka neuronska mreža za segmentaciju slojeva retine', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 25 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:431565

Salković M. Duboka neuronska mreža za segmentaciju slojeva retine [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 July 25] Available at: https://urn.nsk.hr/urn:nbn:hr:168:431565

M. Salković, "Duboka neuronska mreža za segmentaciju slojeva retine", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:431565

Metadata
TitleDuboka neuronska mreža za segmentaciju slojeva retine
Title (english)Deep Neural Network for Retinal Layer Segmentation
AuthorMatej Salković
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 country2020-07-08, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Optička koherentna tomografija (OCT) je neinvanzivna metoda snimanja bioloških tkiva često korištena u oftalmologiji i medicini općenito. Precizna automatska segmentacija slojeva na OCT snimkama retine je od velike važnosti za oftalmologiju jer omogućava bržu i jednostavniju dijagnostiku. Ovaj rad se bavi implementacijom i analizom kaskadne arhitekture koja koristi mapu relativnih udaljenosti kao dodatan ulaz u mrežu. Arhitektura se sastoji od dvije međusobno povezane duboke neuronske mreže od kojih prva služi za ekstrakciju granica retine, a druga za segmentaciju svih slojeva i tekućina. Arhitektura kombinira potpuno konvolucijsku mrežu i U-Net arhitekturu kako bi poboljšala segmentaciju. U radu se detaljno opisuju arhitektura mreže i postupci treniranja i testiranja. Dobiveni rezultati se uspoređuju s očekivanim rezultatima.
Abstract (english)
Optical coherence tomography (OCT) is a non-invasive method of imaging biological tissues that is often used in ophthalmology and medicine in general. Precise automatic layer segmentation on OCT retinal images is of great importance for ophthalmology as it allows for faster and easier diagnosis. This bachelor thesis deals with the application and analysis of a cascading architecture that uses a relative distance map as an additional network input. The architecture consists of two interconnected deep neural networks of which the first serves to extract the boundaries of the retina, and the second to segment all layers and fluids. The architecture combines a fully convolutional network and U-Net architecture to enhance segmentation. The thesis describes in detail the network architecture and training and testing procedures. The obtained results are compared with the expected results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:431565
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 09:53:36