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Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline
Ziqi Tang, View ORCID ProfileKangway V. Chuang, Charles DeCarli, View ORCID ProfileLee-Way Jin, View ORCID ProfileLaurel Beckett, View ORCID ProfileMichael J. Keiser, View ORCID ProfileBrittany N. Dugger
doi: https://doi.org/10.1101/454793
Ziqi Tang
1Department of Pharmaceutical Chemistry, Department of Bioengineering and Therapeutic Sciences, Institute for Neurodegenerative Diseases, and Bakar Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, CA, USA
2School of Pharmaceutical Sciences, Tsinghua University, Beijing, China
Kangway V. Chuang
1Department of Pharmaceutical Chemistry, Department of Bioengineering and Therapeutic Sciences, Institute for Neurodegenerative Diseases, and Bakar Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, CA, USA
Charles DeCarli
3Department of Neurology, University of California - Davis School of Medicine, Davis, CA, USA
Lee-Way Jin
4Department of Pathology and Laboratory Medicine, University of California - Davis School of Medicine, Davis, CA, USA
Laurel Beckett
5Department of Public Health Sciences, University of California - Davis, Davis, CA, USA
Michael J. Keiser
1Department of Pharmaceutical Chemistry, Department of Bioengineering and Therapeutic Sciences, Institute for Neurodegenerative Diseases, and Bakar Institute for Computational Health Sciences, University of California, San Francisco, San Francisco, CA, USA
Brittany N. Dugger
4Department of Pathology and Laboratory Medicine, University of California - Davis School of Medicine, Davis, CA, USA
Article usage
Posted October 30, 2018.
Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline
Ziqi Tang, Kangway V. Chuang, Charles DeCarli, Lee-Way Jin, Laurel Beckett, Michael J. Keiser, Brittany N. Dugger
bioRxiv 454793; doi: https://doi.org/10.1101/454793
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