ilastik: interactive machine learning for (bio)image analysis

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ilastik is an user-friendly interactive tool for machine-learning-based image segmentation, object classification, counting and tracking.

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Bibliographic Details
Main Authors:	Berg, Stuart (Author) , Kutra, Dominik (Author) , Kröger, Thorben (Author) , Straehle, Christoph-Nikolas (Author) , Kausler, Bernhard (Author) , Haubold, Carsten (Author) , Schiegg, Martin (Author) , Aleš, Janez (Author) , Beier, Thorsten (Author) , Rudy, Markus (Author) , Eren, Kemal (Author) , Cervantes, Jaime I. (Author) , Xu, Buote (Author) , Beuttenmueller, Fynn (Author) , Wolny, Adrian (Author) , Zhang, Chong (Author) , Köthe, Ullrich (Author) , Hamprecht, Fred (Author) , Kreshuk, Anna (Author)
Format:	Article (Journal)
Language:	English
Published:	30 September 2019
In:	Nature methods Year: 2019, Volume: 16, Issue: 12, Pages: 1226-1232
ISSN:	1548-7105
DOI:	10.1038/s41592-019-0582-9
Online Access:	Verlag, Volltext: https://doi.org/10.1038/s41592-019-0582-9 Verlag, Volltext: https://www.nature.com/articles/s41592-019-0582-9
Author Notes:	Stuart Berg, Dominik Kutra, Thorben Kroeger, Christoph N. Straehle, Bernhard X. Kausler, Carsten Haubold, Martin Schiegg, Janez Ales, Thorsten Beier, Markus Rudy, Kemal Eren, Jaime I. Cervantes, Buote Xu, Fynn Beuttenmueller, Adrian Wolny, Chong Zhang, Ullrich Koethe, Fred A. Hamprecht and Anna Kreshuk

Description
Summary:	ilastik is an user-friendly interactive tool for machine-learning-based image segmentation, object classification, counting and tracking.
Item Description:	Gesehen am 23.12.2019
Physical Description:	Online Resource
ISSN:	1548-7105
DOI:	10.1038/s41592-019-0582-9