Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region

Aubreville M, Bertram CA, Marzahl C, Gurtner C, Dettwiler M, Schmidt A, Bartenschlager F, Merz S, Fragoso M, Kershaw O, Klopeisch R, Maier A (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: 260-

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg DE

ISBN: 9783658331979

DOI: 10.1007/978-3-658-33198-6_60

Authors with CRIS profile

Christian Marzahl Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Universität Bern CH Switzerland (CH) Freie Universität Berlin DE Germany (DE) Vet Med Labor GmbH DE Germany (DE) Technische Hochschule Ingolstadt DE Germany (DE)

How to cite

APA:

Aubreville, M., Bertram, C.A., Marzahl, C., Gurtner, C., Dettwiler, M., Schmidt, A.,... Maier, A. (2021). Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 260-). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Aubreville, Marc, et al. "Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region." 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. 260-.

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