Deep learning for mass spectrometry imaging and image registration

dc.affiliation.institute	Institut für Mathematische Methoden der Bildverarbeitung	de
dc.contributor.author	Kanter, Frederic Georg
dc.contributor.referee	Lellmann, Jan
dc.contributor.referee	Heinrich, Mattias P..
dc.date	2023
dc.date.accepted	2023
dc.date.accessioned	2024-02-29T19:48:26Z
dc.date.available	2024-02-29T19:48:26Z
dc.date.issued	2023
dc.identifier.dnbppn	1305857488
dc.identifier.gbvppn	1869803221
dc.identifier.uri	https://epub.uni-luebeck.de/handle/zhb_hl/2910
dc.identifier.urn	urn:nbn:de:gbv:841-20230818162
dc.language	eng
dc.language.iso	en
dc.language.rfc3066	en-US
dc.publisher.department	Sektion Informatik / Technik	de
dc.publisher.place	Lübeck	de
dc.subject.ddc	616.075
dc.subject.ddc	610
dc.title	Deep learning for mass spectrometry imaging and image registration	en
dc.type	thesis.doctoral

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