Home › Entities › academia › Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling

Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling

Research article (Computers in Biology and Medicine, 2016) · cited 29× · AI/ML
academia openalex:W2300207703
Press Enter · cited answer in seconds

Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling

Summary

Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling is a scholarly article[1].

Key Facts

  • Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla
MLA “Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla.
BibTeX @misc{4ortxyz_automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic segmentation of cartilage in high-field magnetic resonance images of the knee joint with an improved voxel-classification-driven region-growing algorithm using vicinity-correlated subsampling — https://4ort.xyz/entity/automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/automatic-segmentation-of-cartilage-in-high-field-magnetic-resonance-images-of-the-knee-joint-with-an-improved-voxel-cla · Last refreshed: