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Pumping up the volume

delete2023-01-25
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C
Catherine G. Galbraith *
DOI：10.1083/jcb.202212042delete
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Abstract

Abstract

En 中文
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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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Journal of Cell Biology cover
Journal of Cell Biology
IF:
6.4
Papers:
1.2W
Citations:
5.7W

Organization

O
Oregon Health & Science University
Scholars:
2.5W
Papers: 2.1W
Citations: 39
Cited Papers

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