Record link: 
https://doi.org/10.34726/hss.2024.112440
http://hdl.handle.net/20.500.12708/203798
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Title: 
Deep learning image segmentation for FIB-SEM tomography : How nanoparticles are incorporated in human cells
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Citation: 
Knafl, S. (2024). Deep learning image segmentation for FIB-SEM tomography : How nanoparticles are incorporated in human cells [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.112440
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reposiTUm DOI: 
10.34726/hss.2024.112440
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CatalogPlus: 
AC17344342
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Publication Type: 
Thesis - Diplomarbeit
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Language: 
English
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Authors: 
Knafl, Sebastian 
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Advisor: 
Wanzenböck, Heinz 
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Co-advisor: 
Prado Lopez, Sonia 
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Organisational Unit: 
E362 - Institut für Festkörperelektronik 
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Date (published): 
2024
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Number of Pages: 
136
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Keywords: 
Metall-Nanopartikel; fokussierter Ionenstrahl; Querschnittsbilder; maschinelles Lernen
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metal nanoparticles; focused ion beam; cross-section images; machine learning
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Additional information: 
Zusammenfassung in deutscher Sprache
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
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License: 
In Copyright
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