ilastik: interactive machine learning for (bio)image analysis
ilastik is an user-friendly interactive tool for machine-learning-based image segmentation, object classification, counting and tracking.
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
30 September 2019
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| 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 |
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ilastik: interactive machine learning for (bio)image analysis
Nature Publishing Group 2019 Universitätsbibliothek Heidelberg 2019
Article (Journal)
Book/Monograph
Online Resource