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master's thesis
Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. urn:nbn:hr:235:481058
Delovski, Boris
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Delovski, B. (2019). Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:481058

Delovski, Boris. "Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:481058

Delovski, Boris. "Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:481058

Delovski, B. (2019). 'Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:481058

Delovski B. Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2019 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:481058

B. Delovski, "Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:235:481058

Metadata
TitlePrimjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata
Title (english)Application of neural networks for tissue segmentation in biomedical patient images
AuthorBoris Delovski
MentorBojan Jerbić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2019-12-05, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
Ovaj rad posvećen je primjeni strojnog učenja u području biomedcinske segmentacije tkiva ljudskog mozga; prvenstveno se fokusira na segmentaciju ventrikula koje se mogu primijetiti na CT snimkama mozga. Opisan je način prikupljanja podataka, način na koji se ti podaci pripremaju za korištenje te sama umjetna neuronska mreža iskorištena za postupak segmentacije. Cilj rada je dokazati da se primjenom konvolucijske umjetne neuronske mreže može postići konkurentna točnost kod segmentacije ventrikula u mozgu, te postaviti temelje za eventualno izvođenje segmentacije drugih tkiva u mozgu.
Abstract (english)
This diploma work is devoted to the application of machine learning in the field of biomedical tissue segmentation of the human brain with a primary focus on segmentation of the ventricles that can be seen on CT brain images. The paper contains a description of several thing: how the data is collected, how is this data prepared and what artificial neural network is used for the segmentation process. The aim of the paper is to prove that it is possible to achieve competitive accuracy in the segmentation of the ventricles in the brain using a convolutional artificial neural network, and to lay the groundwork for the eventual segmentation of other tissues in the brain.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:481058
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-11-27 17:33:08