Home ›
Entities
› academia
› Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
Research article (Computerized Medical Imaging and Graphics, 2015) · cited 20× · AI/ML
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT
Summary
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT is a scholarly article[1].
Key Facts
Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT'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). Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-compromised-right-lung-segmentation-method-using-a-robust-atlas-based-active-volume-model-with-sparse-shape-co
MLA“Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-compromised-right-lung-segmentation-method-using-a-robust-atlas-based-active-volume-model-with-sparse-shape-co.
BibTeX@misc{4ortxyz_automated-compromised-right-lung-segmentation-method-using-a-robust-atlas-based-active-volume-model-with-sparse-shape-co_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT}}, year = {2026}, url = {https://4ort.xyz/entity/automated-compromised-right-lung-segmentation-method-using-a-robust-atlas-based-active-volume-model-with-sparse-shape-co}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated compromised right lung segmentation method using a robust atlas-based active volume model with sparse shape composition prior in CT — https://4ort.xyz/entity/automated-compromised-right-lung-segmentation-method-using-a-robust-atlas-based-active-volume-model-with-sparse-shape-co (retrieved 2026-05-24)