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undergraduate thesis
Simulacija modela rasta epitelnog tkiva
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:506401
Nuić, Lovro
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Nuić, L. (2021). Simulacija modela rasta epitelnog tkiva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:506401

Nuić, Lovro. "Simulacija modela rasta epitelnog tkiva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:506401

Nuić, Lovro. "Simulacija modela rasta epitelnog tkiva." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:506401

Nuić, L. (2021). 'Simulacija modela rasta epitelnog tkiva', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:506401

Nuić L. Simulacija modela rasta epitelnog tkiva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:506401

L. Nuić, "Simulacija modela rasta epitelnog tkiva", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:506401

Metadata
TitleSimulacija modela rasta epitelnog tkiva
Title (english)Simulation of Epithelial Tissue Growth
AuthorLovro Nuić
MentorŽeljka Mihajlović (mentor)
Committee memberŽeljka Mihajlović (predsjednik povjerenstva)
Committee memberPetar Paradžik (član povjerenstva)
Committee memberJuraj Fulir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Radi boljeg razumijevanja rast tkiva često modeliramo jednoslojni epitel, čiji je jedan od predstavnika Madin-Darby Canine Kidney (MDCK) tkivo. U ovom završnom radu razvijen je paralelni algoritam izgradnje Voronoijeva dijagrama skupova. Implementirani algoritam primijenjen je na jezgru oblika elipse u dvočestičnom modelu stanice. Simulaciji rasta MDCK tkiva izvedena je disipativnom dinamikom čestica uz optimizaciju strukture stanice Lloydovim algoritmom. Nadalje, provedeno je učenje U-Net konvolucijske neuronske mreže za segmentaciju jezgri stanica tkiva.
Abstract (english)
In order to better understand tissue growth, a single-layer epithelium, represented by Madin-Darby Canine Kidney (MDCK) tissue, is often modeled. In this final paper, a parallel algorithm for constructing the Set Voronoi tessellation is developed. The implemented algorithm is applied to an ellipse-shaped nucleus in a two-particle cell model. Simulation of MDCK tissue growth was performed by dissipative particle dynamics with optimization of cell structure by Lloyd's algorithm. Furthermore, the U-Net convolutional neural network is employed to predict tissue cell nucleus segmentation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:506401
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 21:19:17