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Automatic Sample Segmentation & Detection of Parkinson’s Disease Using Synthetic Staining & Deep Learning

Bradley Pearce, Peter Coetzee, Duncan Rowland, David T Dexter, Djordje Gveric, Stephen Gentleman
doi: https://doi.org/10.1101/2022.08.30.505459

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doi 
https://doi.org/10.1101/2022.08.30.505459
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  • September 1, 2022.

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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-ND 4.0 International license.

Author Information

  1. Bradley Pearce1,*,
  2. Peter Coetzee1,
  3. Duncan Rowland1,
  4. David T Dexter2,
  5. Djordje Gveric3 and
  6. Stephen Gentleman3
  1. 1Polygeist LTD, UK
  2. 2Parkinson’s UK
  3. 3Parkinson’s UK Tissue Bank, Department of Brain Sciences, Imperial College London, UK
  1. ↵*Corresponding author; email: brad{at}polygei.st
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Posted September 01, 2022.
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Automatic Sample Segmentation & Detection of Parkinson’s Disease Using Synthetic Staining & Deep Learning
Bradley Pearce, Peter Coetzee, Duncan Rowland, David T Dexter, Djordje Gveric, Stephen Gentleman
bioRxiv 2022.08.30.505459; doi: https://doi.org/10.1101/2022.08.30.505459
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