prikaz prve stranice dokumenta Computational histology image analysis of human cerebral cortex cytoarchitectonics
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doctoral thesis
Computational histology image analysis of human cerebral cortex cytoarchitectonics
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:462227
Štajduhar, Andrija
University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronic Systems and Information Processing

Cite this document

Štajduhar, A. (2019). Computational histology image analysis of human cerebral cortex cytoarchitectonics (Doctoral thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:462227

Štajduhar, Andrija. "Computational histology image analysis of human cerebral cortex cytoarchitectonics." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:462227

Štajduhar, Andrija. "Computational histology image analysis of human cerebral cortex cytoarchitectonics." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:462227

Štajduhar, A. (2019). 'Computational histology image analysis of human cerebral cortex cytoarchitectonics', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 September 2021, https://urn.nsk.hr/urn:nbn:hr:168:462227

Štajduhar A. Computational histology image analysis of human cerebral cortex cytoarchitectonics [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2021 September 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:462227

A. Štajduhar, "Computational histology image analysis of human cerebral cortex cytoarchitectonics", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:462227

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Metadata
TitleComputational histology image analysis of human cerebral cortex cytoarchitectonics
Title (english)Računalna analiza histoloških slika citoarhitektonike ljudske moždane kore
AuthorAndrija Štajduhar
MBZ: -333878
MentorSven Lončarić (mentor)
MentorMiloš Judaš (komentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMiloš Judaš (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
(Department of Electronic Systems and Information Processing)
Zagreb
Defense date and country2019, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
The structure of the cerebral cortex is defined by organization and distribution of neurons in the tissue. Today, most investigations in brain cytoarchitectonics are not automatized and require significant involvement of the researcher, which is very time consuming and may introduce significant bias. This type of analysis may not be accurate enough or reveal enough information about the structure of the tissue. Brain tissue forms complex structures whose organization and distribution may be reliably revealed only using systematic computational approach. The goal of this dissertation is development of novel computational methods for automatic and objective analysis of histological images of human brain suitable for advanced and fast analysis of brain cytoarchitectonics and laminar structure. The methods were developed aiming for a completely data-driven approach, with as little assumptions about the data as possible. Quantitative analysis of neuronal distribution and exploration of underlying principles of variation that facilitate parcellation of cortical layers resulted in novel framework and methodology for cellular-level investigations of brain tissue.
Abstract (english)
Strukturu moždane kore definira organizacija i raspodijela neurona u tkivu mozga. Većina današnjih istraživanja u citoarhitektonici mozga nije automatizirana i zahtijeva značajnu uključenost istraživača i mnogo vremena, a što može uvesti i veliku pristranost. Ova vrsta analize često nije dovoljno precizna i ne otkriva dovoljno informacija o strukturi tkiva. Moždano tkivo tvori složene strukture čija se organizacija i distribucija mogu pouzdano otkriti samo uz primjenu sustavnog računarskog pristupa.Cilj ove disertacije je razvoj novih računalnih metoda za automatsku i objektivnu analizu histoloških slika ljudskog mozga pogodne za naprednu i brzu analizu citoarhitektonike mozga i laminarne strukture. Metode su razvijene pomoću pristupa vođenog podacima, uz što manje pretpostavki o samim podacima. Kvantitativna analiza raspodjele neurona i istraživanje temeljnih načela varijacije u tkivu koje uzrokuju parcelaciju kortikalnih slojeva rezultirala je novom znanstvenom metodologijom za istraživanje tkiva mozga na staničnoj razini.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:462227
Study programmeTitle: Electrical Engineering and Computing
Study programme type: university
Study level: postgraduate
Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resourceText
Extent120 str. ; 30 cm
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryFER Repository
Created on2020-01-20 10:34:28

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