Home › Entities › academia › Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

Research article (Insights into Imaging, 2021) · cited 16× · AI/ML
academia openalex:W4200464795
Press Enter · cited answer in seconds

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

Summary

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging is a scholarly article[1].

Key Facts

  • Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging'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). Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging
MLA “Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging.
BibTeX @misc{4ortxyz_deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging — https://4ort.xyz/entity/deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/deep-learning-approach-for-automatic-segmentation-of-ulna-and-radius-in-dual-energy-x-ray-imaging · Last refreshed: