ilastik: interactive machine learning for (bio)image analysis-Reference-Cited by-同舟云学术

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ilastik: interactive machine learning for (bio)image analysis

Published:2019-09-30 Issue:12 Volume:16 Page:1226-1232
ISSN:1548-7091
Container-title:Nature Methods
language:en
Short-container-title:Nat Methods

Author:

Berg Stuart,Kutra Dominik,Kroeger Thorben,Straehle Christoph N.,Kausler Bernhard X.,Haubold Carsten,Schiegg Martin,Ales Janez,Beier Thorsten,Rudy Markus,Eren Kemal,Cervantes Jaime I,Xu Buote,Beuttenmueller Fynn,Wolny Adrian,Zhang Chong,Koethe Ullrich,Hamprecht Fred A.,Kreshuk Anna

Funder

Deutsche Forschungsgemeinschaft

HHMI Janelia Research Campus, Visiting Scientist Program

Internal funding

European Commission

HHMI Janelia Research Campus Visiting Scientist Program

Publisher

Springer Science and Business Media LLC

Subject

Cell Biology,Molecular Biology,Biochemistry,Biotechnology

Link

http://www.nature.com/articles/s41592-019-0582-9.pdf

Reference40 articles.

1. Simpson, R., Page, K. R. & De Roure, D. Zooniverse: observing the world’s largest citizen science platform. In Proc. 23rd International Conference on World Wide Web. 1049–1054 (ACM, 2014).

2. Hughes, A. J. et al. Gartner. Quanti.us: a tool for rapid, flexible, crowd-based annotation of images. Nat. Methods 15, 587–590 (2018).

3. Sommer, C., Straehle, C., Köthe, U. & Hamprecht, F. A. ilastik: interactive learning and segmentation toolkit. In Proc. 8th IEEE International Symposium on Biomedical Imaging. 230–233 (IEEE, 2011).

4. Erickson, B. J., Korfiatis, P., Akkus, Z. & Kline, T. L. Machine learning for medical imaging. RadioGraphics 37, 505–515 (2017).

5. Geurts, P., Irrthum, A. & Wehenkel, L. Supervised learning with decision tree-based methods in computational and systems biology. Mol. BioSyst. 5, 1593–1605 (2009).

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