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Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation

Research article (Bioengineering, 2023) · cited 101× · AI/ML
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Summary

Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation is a scholarly article[1].

Key Facts

  • Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation. Retrieved October 20, 2026, from https://4ort.xyz/entity/comparing-3d-2-5d-and-2d-approaches-to-brain-image-auto-segmentation
MLA “Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/comparing-3d-2-5d-and-2d-approaches-to-brain-image-auto-segmentation.
BibTeX @misc{4ortxyz_comparing-3d-2-5d-and-2d-approaches-to-brain-image-auto-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-3d-2-5d-and-2d-approaches-to-brain-image-auto-segmentation}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing 3D, 2.5D, and 2D Approaches to Brain Image Auto-Segmentation — https://4ort.xyz/entity/comparing-3d-2-5d-and-2d-approaches-to-brain-image-auto-segmentation (retrieved 2026-10-20)

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