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Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests

Research article (IEEE Access, 2018) · cited 11× · AI/ML
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Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests

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Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests is a scholarly article[1].

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  • Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-kidney-segmentation-in-micro-ct-based-on-multi-atlas-registration-and-random-forests
MLA “Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-kidney-segmentation-in-micro-ct-based-on-multi-atlas-registration-and-random-forests.
BibTeX @misc{4ortxyz_efficient-kidney-segmentation-in-micro-ct-based-on-multi-atlas-registration-and-random-forests_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-kidney-segmentation-in-micro-ct-based-on-multi-atlas-registration-and-random-forests}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient Kidney Segmentation in Micro-CT Based on Multi-Atlas Registration and Random Forests — https://4ort.xyz/entity/efficient-kidney-segmentation-in-micro-ct-based-on-multi-atlas-registration-and-random-forests (retrieved 2026-05-24)

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