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

1 Citation (Scopus)

Original language	English
Pages	60
DOIs	https://doi.org/10.1117/12.2578391
Publication status	Published - 04.03.2021

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

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10.1117/12.2578391

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

author = "Paul Strenge and Birgit Lange and Christin Grill and Wolfgang Draxinger and Veit Danicke and Dirk Theisen-Kunde and Heinz Handels and Christian Hagel and Bonsanto, \{Matteo M.\} and Robert Huber and Ralf Brinkmann",

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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

PY - 2021/3/4

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DO - 10.1117/12.2578391

M3 - Conference Papers

SP - 60

ER -

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

UN SDGs

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