Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples

Paul Strenge; Birgit Lange; Christin Grill; Wolfgang Draxinger; Veit Danicke; Dirk Theisen-Kunde; Heinz Handels; Christian Hagel; Matteo M. Bonsanto; Robert Huber; Ralf Brinkmann

doi:10.1117/12.2578391

Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples

Paul Strenge, Birgit Lange, Christin Grill, Wolfgang Draxinger, Veit Danicke, Dirk Theisen-Kunde, Heinz Handels, Christian Hagel, Matteo M. Bonsanto, Robert Huber, Ralf Brinkmann

Originalsprache	Englisch
Seiten	60
DOIs	https://doi.org/10.1117/12.2578391
Publikationsstatus	Veröffentlicht - 04.03.2021

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

Zugriff auf Dokument

10.1117/12.2578391

Andere Dateien und Links

https://www.mendeley.com/catalogue/43686de2-f47f-36e9-a53f-c24b51d773da/

Zitieren

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title = "Creating a depth-resolved OCT-dataset for supervised classification based on ex vivo human brain samples",

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AU - Strenge, Paul

AU - Lange, Birgit

AU - Grill, Christin

AU - Draxinger, Wolfgang

AU - Danicke, Veit

AU - Theisen-Kunde, Dirk

AU - Handels, Heinz

AU - Hagel, Christian

AU - Bonsanto, Matteo M.

AU - Huber, Robert

AU - Brinkmann, Ralf

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