Making Image Analysis Easier with Machine Learning: A Foam Cell Size Study

Jui-Ching Lin; Valentina Woodcraft

doi:10.1017/S1431927620018267

Making Image Analysis Easier with Machine Learning: A Foam Cell Size Study

Published online by Cambridge University Press: 30 July 2020

Jui-Ching Lin and

Valentina Woodcraft

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Jui-Ching Lin: Affiliation:
DuPont de Nemours, Inc., Midland, Michigan, United States
Valentina Woodcraft: Affiliation:
DuPont de Nemours, Inc., Midland, Michigan, United States

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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. 1478 - 1480

DOI: https://doi.org/10.1017/S1431927620018267 [Opens in a new window]

References

https://imagej.net/Trainable_Weka_Segmentation Google Scholar

https://www.ilastik.org/Google Scholar

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Making Image Analysis Easier with Machine Learning: A Foam Cell Size Study

Abstract

References

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