Home › Entities › academia › SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

Research article (European Radiology, 2024) · cited 20× · AI/ML
academia openalex:W4403873684
Press Enter · cited answer in seconds

SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation

Summary

SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation is a scholarly article[1].

Key Facts

  • SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation's automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation — instance of is recorded as scholarly article[2].

Related Entities

Bjoern H Menze

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). SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an
MLA “SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an.
BibTeX @misc{4ortxyz_spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SPINEPS—automatic whole spine segmentation of T2-weighted MR images using a two-phase approach to multi-class semantic and instance segmentation — https://4ort.xyz/entity/spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/spinepsautomatic-whole-spine-segmentation-of-t2-weighted-mr-images-using-a-two-phase-approach-to-multi-class-semantic-an · Last refreshed: