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

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.

Detalles Bibliográficos
Autores principales: Rivenson, Yair, Ozcan, Aydogan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
News & Views
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568604/
https://www.ncbi.nlm.nih.gov/pubmed/36241615
http://dx.doi.org/10.1038/s41377-022-00999-y
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author Rivenson, Yair
Ozcan, Aydogan
author_facet Rivenson, Yair
Ozcan, Aydogan
author_sort Rivenson, Yair
collection PubMed
description 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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spelling pubmed-95686042022-10-16 Deep learning accelerates whole slide imaging for next-generation digital pathology applications Rivenson, Yair Ozcan, Aydogan Light Sci Appl News & Views 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. Nature Publishing Group UK 2022-10-14 /pmc/articles/PMC9568604/ /pubmed/36241615 http://dx.doi.org/10.1038/s41377-022-00999-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle News & Views
Rivenson, Yair
Ozcan, Aydogan
Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title_full Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title_fullStr Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title_full_unstemmed Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title_short Deep learning accelerates whole slide imaging for next-generation digital pathology applications
title_sort deep learning accelerates whole slide imaging for next-generation digital pathology applications
topic News & Views
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568604/
https://www.ncbi.nlm.nih.gov/pubmed/36241615
http://dx.doi.org/10.1038/s41377-022-00999-y
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