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Efficient pan-cancer whole-slide image classification and outlier detection using convolutional neural networks

Seda Bilaloglu, Joyce Wu, Eduardo Fierro, Raul Delgado Sanchez, Paolo Santiago Ocampo, Narges Razavian, Nicolas Coudray, Aristotelis Tsirigos
doi: https://doi.org/10.1101/633123
Seda Bilaloglu
1Center for Data Science, New York University, New York, NY, USA
2Department of Population Health, New York University School of Medicine, New York, NY, USA
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Joyce Wu
1Center for Data Science, New York University, New York, NY, USA
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Eduardo Fierro
1Center for Data Science, New York University, New York, NY, USA
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Raul Delgado Sanchez
1Center for Data Science, New York University, New York, NY, USA
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Paolo Santiago Ocampo
5Department of Pathology, New York University School of Medicine, New York, NY, USA
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Narges Razavian
2Department of Population Health, New York University School of Medicine, New York, NY, USA
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Nicolas Coudray
3Applied Bioinformatics Laboratories, New York University School of Medicine, New York, NY, USA
4Skirball Institute, Department of Cell Biology, New York University School of Medicine, New York, NY, USA
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  • For correspondence: Aristotelis.Tsirigos@nyulangone.org Nicolas.Coudray@nyulangone.org
Aristotelis Tsirigos
3Applied Bioinformatics Laboratories, New York University School of Medicine, New York, NY, USA
5Department of Pathology, New York University School of Medicine, New York, NY, USA
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  • For correspondence: Aristotelis.Tsirigos@nyulangone.org Nicolas.Coudray@nyulangone.org
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Article Information

doi 
https://doi.org/10.1101/633123
History 
  • May 14, 2019.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.

Author Information

  1. Seda Bilaloglu1,2,
  2. Joyce Wu1,†,
  3. Eduardo Fierro1,†,
  4. Raul Delgado Sanchez1,†,
  5. Paolo Santiago Ocampo5,
  6. Narges Razavian2,
  7. Nicolas Coudray3,4,# and
  8. Aristotelis Tsirigos3,5,#
  1. 1Center for Data Science, New York University, New York, NY, USA
  2. 2Department of Population Health, New York University School of Medicine, New York, NY, USA
  3. 3Applied Bioinformatics Laboratories, New York University School of Medicine, New York, NY, USA
  4. 4Skirball Institute, Department of Cell Biology, New York University School of Medicine, New York, NY, USA
  5. 5Department of Pathology, New York University School of Medicine, New York, NY, USA
  1. ↵# Corresponding authors: Aristotelis Tsirigos, PhD, 227 East 30th Street, New York, NY 10016 Email: Aristotelis.Tsirigos{at}nyulangone.org; Nicolas Coudray, PhD, 227 East 30th Street, New York, NY 10016 Email: Nicolas.Coudray{at}nyulangone.org
  1. ↵† These authors contributed equally to this work

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Posted May 14, 2019.
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Efficient pan-cancer whole-slide image classification and outlier detection using convolutional neural networks
Seda Bilaloglu, Joyce Wu, Eduardo Fierro, Raul Delgado Sanchez, Paolo Santiago Ocampo, Narges Razavian, Nicolas Coudray, Aristotelis Tsirigos
bioRxiv 633123; doi: https://doi.org/10.1101/633123
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Efficient pan-cancer whole-slide image classification and outlier detection using convolutional neural networks
Seda Bilaloglu, Joyce Wu, Eduardo Fierro, Raul Delgado Sanchez, Paolo Santiago Ocampo, Narges Razavian, Nicolas Coudray, Aristotelis Tsirigos
bioRxiv 633123; doi: https://doi.org/10.1101/633123

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