A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction

Hackner R, Walluscheck S, Lehmann E, Eixelberger T, Bruns V, Wittenberg T (2021)

Publication Type: Conference contribution

Publication year: 2021

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 298-303

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg DE

ISBN: 9783658331979

DOI: 10.1007/978-3-658-33198-6_73

Authors with CRIS profile

Thomas Wittenberg Chair of Visual Computing (LGDV)

Involved external institutions

Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie (IISB) DE Germany (DE) E&L medical systems GmbH DE Germany (DE)

How to cite

APA:

Hackner, R., Walluscheck, S., Lehmann, E., Eixelberger, T., Bruns, V., & Wittenberg, T. (2021). A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 298-303). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Hackner, Ralf, et al. "A Geometric and Textural Model of the Colon as Ground Truth for Deep Learning-based 3D-reconstruction." Proceedings of the German Workshop on Medical Image Computing, 2021, Regensburg Ed. Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2021. 298-303.

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