Deep learning accelerates whole slide imaging for next-generation digital pathology applications

Yair Rivenson; Aydogan Ozcan

doi:10.1038/s41377-022-00999-y

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Deep learning accelerates whole slide imaging for next-generation digital pathology applications

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- Deep learning accelerates whole slide imaging for next-generation digital pathology applications
- Light: Science & Applications Vol. 11, Issue 11, Pages: 2558-2560(2022)
- Affiliations：
  
  1.Pictor Labs, Inc., Los Angeles, USA
  2.Electrical and Computer Engineering Department, University of California, Los Angeles 90095 CA, USA
  3.Bioengineering Department, University of California, Los Angeles 90095 CA, USA
  4.California NanoSystems Institute (CNSI), University of California, Los Angeles 90095 CA, USA
  5.Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles 90095 CA, USA
- Author bio：
  
  Yair Rivenson (rivenson@pictorlabs.ai)
- Funds：
- DOI：10.1038/s41377-022-00999-y
  CLC：
- Published：30 November 2022，
  
  Published Online：14 October 2022，
- Accepted：
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Rivenson, Y. & Ozcan, A. Deep learning accelerates whole slide imaging for next-generation digital pathology applications. Light: Science & Applications, 11, 2558-2560 (2022).
DOI：

Rivenson, Y. & Ozcan, A. Deep learning accelerates whole slide imaging for next-generation digital pathology applications. Light: Science & Applications, 11, 2558-2560 (2022). DOI： 10.1038/s41377-022-00999-y.

摘要

Abstract

Deep learning demonstrates the ability to significantly increase the scanning speed of whole slide imaging in histology. This transformative solution can be used to further accelerate the adoption of digital pathology.

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references

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