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Detecting overlapping instances in microscopy images using extremal region trees

Research article (Medical Image Analysis, 2015) · cited 83× · AI/ML
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Summary

Detecting overlapping instances in microscopy images using extremal region trees is a scholarly article[1].

Key Facts

  • Detecting overlapping instances in microscopy images using extremal region trees's instance of is recorded as scholarly article[2].

Related Entities

Andrew Zisserman

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Detecting overlapping instances in microscopy images using extremal region trees. Retrieved October 16, 2026, from https://4ort.xyz/entity/detecting-overlapping-instances-in-microscopy-images-using-extremal-region-trees
MLA “Detecting overlapping instances in microscopy images using extremal region trees.” 4ort.xyz Knowledge Graph, 4ort.xyz, 16 Oct. 2026, https://4ort.xyz/entity/detecting-overlapping-instances-in-microscopy-images-using-extremal-region-trees.
BibTeX @misc{4ortxyz_detecting-overlapping-instances-in-microscopy-images-using-extremal-region-trees_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detecting overlapping instances in microscopy images using extremal region trees}}, year = {2026}, url = {https://4ort.xyz/entity/detecting-overlapping-instances-in-microscopy-images-using-extremal-region-trees}, note = {Accessed: 2026-10-16}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detecting overlapping instances in microscopy images using extremal region trees — https://4ort.xyz/entity/detecting-overlapping-instances-in-microscopy-images-using-extremal-region-trees (retrieved 2026-10-16)

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