ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology

Research article (Nature Methods, 2023) · cited 44× · AI/ML
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ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology

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ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology. Retrieved May 24, 2026, from https://4ort.xyz/entity/ernet-a-tool-for-the-semantic-segmentation-and-quantitative-analysis-of-endoplasmic-reticulum-topology
MLA “ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ernet-a-tool-for-the-semantic-segmentation-and-quantitative-analysis-of-endoplasmic-reticulum-topology.
BibTeX @misc{4ortxyz_ernet-a-tool-for-the-semantic-segmentation-and-quantitative-analysis-of-endoplasmic-reticulum-topology_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology}}, year = {2026}, url = {https://4ort.xyz/entity/ernet-a-tool-for-the-semantic-segmentation-and-quantitative-analysis-of-endoplasmic-reticulum-topology}, note = {Accessed: 2026-05-24}}
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