Pumping up the volume

The time and cost of annotating ground-truth images and network training are major challenges to utilizing machine learning to automate the mining of volume electron microscopy data. In this issue, Gallusser et al. (2023. J. Cell Biol. https://doi.org/10.1083/jcb.202208005) present a less computatio...

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Detalles Bibliográficos
Autor principal: Galbraith, Catherine G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Rockefeller University Press 2023
Materias:
Spotlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930139/
https://www.ncbi.nlm.nih.gov/pubmed/36696087
http://dx.doi.org/10.1083/jcb.202212042
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author Galbraith, Catherine G.
author_facet Galbraith, Catherine G.
author_sort Galbraith, Catherine G.
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description The time and cost of annotating ground-truth images and network training are major challenges to utilizing machine learning to automate the mining of volume electron microscopy data. In this issue, Gallusser et al. (2023. J. Cell Biol. https://doi.org/10.1083/jcb.202208005) present a less computationally intense pipeline to detect a single type of organelle using a limited number of loosely annotated images.
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spelling pubmed-99301392023-07-25 Pumping up the volume Galbraith, Catherine G. J Cell Biol Spotlight The time and cost of annotating ground-truth images and network training are major challenges to utilizing machine learning to automate the mining of volume electron microscopy data. In this issue, Gallusser et al. (2023. J. Cell Biol. https://doi.org/10.1083/jcb.202208005) present a less computationally intense pipeline to detect a single type of organelle using a limited number of loosely annotated images. Rockefeller University Press 2023-01-25 /pmc/articles/PMC9930139/ /pubmed/36696087 http://dx.doi.org/10.1083/jcb.202212042 Text en © 2023 Galbraith https://creativecommons.org/licenses/by-nc-sa/4.0/http://www.rupress.org/terms/This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).
spellingShingle Spotlight
Galbraith, Catherine G.
Pumping up the volume
title Pumping up the volume
title_full Pumping up the volume
title_fullStr Pumping up the volume
title_full_unstemmed Pumping up the volume
title_short Pumping up the volume
title_sort pumping up the volume
topic Spotlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930139/
https://www.ncbi.nlm.nih.gov/pubmed/36696087
http://dx.doi.org/10.1083/jcb.202212042
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