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Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
View ORCID ProfileZijie J. Wang, View ORCID ProfileAlex J. Walsh, View ORCID ProfileMelissa C. Skala, View ORCID ProfileAnthony Gitter
doi: https://doi.org/10.1101/737346
Zijie J. Wang
1Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin
2Morgridge Institute for Research, Madison, Wisconsin
Alex J. Walsh
2Morgridge Institute for Research, Madison, Wisconsin
Melissa C. Skala
2Morgridge Institute for Research, Madison, Wisconsin
3Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin
Anthony Gitter
1Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin
2Morgridge Institute for Research, Madison, Wisconsin
4Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin
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Posted August 15, 2019.
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Zijie J. Wang, Alex J. Walsh, Melissa C. Skala, Anthony Gitter
bioRxiv 737346; doi: https://doi.org/10.1101/737346
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