Home ›
Entities
› academia
› Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets
Research article (European Radiology, 2020) · cited 53× · AI/ML
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets
Summary
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets is a scholarly article[1].
Key Facts
Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-the-rapid-automatic-quantification-and-characterization-of-rotator-cuff-muscle-degeneration-from-shoul
MLA“Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-the-rapid-automatic-quantification-and-characterization-of-rotator-cuff-muscle-degeneration-from-shoul.
BibTeX@misc{4ortxyz_deep-learning-for-the-rapid-automatic-quantification-and-characterization-of-rotator-cuff-muscle-degeneration-from-shoul_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-the-rapid-automatic-quantification-and-characterization-of-rotator-cuff-muscle-degeneration-from-shoul}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning for the rapid automatic quantification and characterization of rotator cuff muscle degeneration from shoulder CT datasets — https://4ort.xyz/entity/deep-learning-for-the-rapid-automatic-quantification-and-characterization-of-rotator-cuff-muscle-degeneration-from-shoul (retrieved 2026-05-24)