Introducing Biomedisa as an open-source online platform for biomedical image segmentation

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SEEK ID: https://publications.h-its.org/publications/1200

SEEK ID: https://publications.h-its.org/publications/1200

DOI: 10.1038/s41467-020-19303-w

Research Groups: Data Mining and Uncertainty Quantification

Publication type: Journal

Journal: Nature Communications

Citation: Nat Commun 11(1),5577

Date Published: 1st Dec 2020

Registered Mode: by DOI

Authors: Philipp D. Lösel, Thomas van de Kamp, Alejandra Jayme, Alexey Ershov, Tomáš Faragó, Olaf Pichler, Nicholas Tan Jerome, Narendar Aadepu, Sabine Bremer, Suren A. Chilingaryan, Michael Heethoff, Andreas Kopmann, Janes Odar, Sebastian Schmelzle, Marcus Zuber, Joachim Wittbrodt, Tilo Baumbach, Vincent Heuveline

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Lösel, P. D., van de Kamp, T., Jayme, A., Ershov, A., Faragó, T., Pichler, O., Tan Jerome, N., Aadepu, N., Bremer, S., Chilingaryan, S. A., Heethoff, M., Kopmann, A., Odar, J., Schmelzle, S., Zuber, M., Wittbrodt, J., Baumbach, T., & Heuveline, V. (2020). Introducing Biomedisa as an open-source online platform for biomedical image segmentation. In Nature Communications (Vol. 11, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/s41467-020-19303-w
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Created: 11th Feb 2021 at 10:53

Last updated: 5th Mar 2024 at 21:24

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