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Forget About Cleaning up Your Micrographs: Deep Learning Segmentation is Robust to Image Artifacts

Published online by Cambridge University Press:  30 July 2020

Peng Dong ,
Benjamin Provencher ,
Nabil Basim ,
Nicolas Piché  and
Mike Marsh
Peng Dong
Affiliation:
McMaster University, Hamilton, Ontario, Canada
Benjamin Provencher
Affiliation:
Object Research Systems, Montreal, Quebec, Canada
Nabil Basim
Affiliation:
McMaster University, Hamilton, Ontario, Canada
Nicolas Piché
Affiliation:
Object Research Systems, Montreal, Quebec, Canada
Mike Marsh
Affiliation:
Object Research Systems, Denver, Colorado, United States

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 1468 - 1469
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Copyright
Copyright © Microscopy Society of America 2020

References

Ronnenberger, O., et al. , Medical Image Computing and Computer-Assisted Intervention 9351 (2015) p. 234–241.Google Scholar
Nivikov, A.A., et al. , IEEE Trans Med Imaging 38 (2019), p. 1207–1215.10.1109/TMI.2018.2881678CrossRefGoogle Scholar
Makovetsky, R., et al. , Microscopy and Microanalysis 24 (Suppl 1) (2018), p. 532–533.10.1017/S143192761800315XCrossRefGoogle Scholar