KNIME for Open-Source Bioimage Analysis : A Tutorial

Publikationstyp: Beitrag zu einem Sammelband
Publikationsstatus: Published
Autor/innen: Dietz, Christian; Berthold, Michael R.
Erscheinungsjahr: 2016
Erschienen in: Focus on Bio-Image Informatics / De Vos, Winnok H. et al. (Hrsg.). - Cham : Springer, 2016. - (Advances in Anatomy, Embryology and Cell Biology ; 219). - S. 179-197. - ISBN 978-3-319-28547-4
DOI (zitierfähiger Link): https://dx.doi.org/10.1007/978-3-319-28549-8_7
Zusammenfassung:
The open analytics platform KNIME is a modular environment that enables easy visual assembly and interactive execution of workflows. KNIME is already widely used in various areas of research, for instance in cheminformatics or classical data analysis. In this tutorial the KNIME Image Processing Extension is introduced, which adds the capabilities to process and analyse huge amounts of images. In combination with other KNIME extensions, KNIME Image Processing opens up new possibilities for inter-domain analysis of image data in an understandable and reproducible way.
Fachgebiet (DDC): 004 Informatik
Universitätsbibliographie: Ja

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DIETZ, Christian, Michael R. BERTHOLD, 2016. KNIME for Open-Source Bioimage Analysis : A Tutorial. In: DE VOS, Winnok H., ed. and others. Focus on Bio-Image Informatics. Cham:Springer, pp. 179-197. ISBN 978-3-319-28547-4

@incollection{Dietz2016-05-21KNIME-34788, title={KNIME for Open-Source Bioimage Analysis : A Tutorial}, year={2016}, doi={10.1007/978-3-319-28549-8_7}, number={219}, isbn={978-3-319-28547-4}, address={Cham}, publisher={Springer}, series={Advances in Anatomy, Embryology and Cell Biology}, booktitle={Focus on Bio-Image Informatics}, pages={179--197}, editor={De Vos, Winnok H.}, author={Dietz, Christian and Berthold, Michael R.} }

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