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

Manual segmentation of biological images is a time-consuming task. Here the authors present Biomedisa, an open-source online platform for segmentation of large volumetric images starting from sparsely presegmented slices.

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Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/aa9f9a84fe2444daab9f53446e229ab1
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spelling	oai:doaj.org-article:aa9f9a84fe2444daab9f53446e229ab12021-12-02T14:42:31ZIntroducing Biomedisa as an open-source online platform for biomedical image segmentation10.1038/s41467-020-19303-w2041-1723https://doaj.org/article/aa9f9a84fe2444daab9f53446e229ab12020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19303-whttps://doaj.org/toc/2041-1723Manual segmentation of biological images is a time-consuming task. Here the authors present Biomedisa, an open-source online platform for segmentation of large volumetric images starting from sparsely presegmented slices.Philipp D. LöselThomas van de KampAlejandra JaymeAlexey ErshovTomáš FaragóOlaf PichlerNicholas Tan JeromeNarendar AadepuSabine BremerSuren A. ChilingaryanMichael HeethoffAndreas KopmannJanes OdarSebastian SchmelzleMarcus ZuberJoachim WittbrodtTilo BaumbachVincent HeuvelineNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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 Introducing Biomedisa as an open-source online platform for biomedical image segmentation
description	Manual segmentation of biological images is a time-consuming task. Here the authors present Biomedisa, an open-source online platform for segmentation of large volumetric images starting from sparsely presegmented slices.
format	article
author	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
author_facet	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
author_sort	Philipp D. Lösel
title	Introducing Biomedisa as an open-source online platform for biomedical image segmentation
title_short	Introducing Biomedisa as an open-source online platform for biomedical image segmentation
title_full	Introducing Biomedisa as an open-source online platform for biomedical image segmentation
title_fullStr	Introducing Biomedisa as an open-source online platform for biomedical image segmentation
title_full_unstemmed	Introducing Biomedisa as an open-source online platform for biomedical image segmentation
title_sort	introducing biomedisa as an open-source online platform for biomedical image segmentation
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/aa9f9a84fe2444daab9f53446e229ab1
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Introducing Biomedisa as an open-source online platform for biomedical image segmentation

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