Home ›
Entities
› academia
› Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
Research article (International Journal of Computer Assisted Radiology and Surgery, 2024) · cited 11× · AI/ML
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow
Summary
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow is a scholarly article[1].
Key Facts
Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow'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). Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-assessment-of-lesions-in-longitudinal-ct-scans-a-bi-institutional-reader-study-on-an-ai-assisted-registration-
MLA“Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-assessment-of-lesions-in-longitudinal-ct-scans-a-bi-institutional-reader-study-on-an-ai-assisted-registration-.
BibTeX@misc{4ortxyz_improving-assessment-of-lesions-in-longitudinal-ct-scans-a-bi-institutional-reader-study-on-an-ai-assisted-registration-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow}}, year = {2026}, url = {https://4ort.xyz/entity/improving-assessment-of-lesions-in-longitudinal-ct-scans-a-bi-institutional-reader-study-on-an-ai-assisted-registration-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow — https://4ort.xyz/entity/improving-assessment-of-lesions-in-longitudinal-ct-scans-a-bi-institutional-reader-study-on-an-ai-assisted-registration- (retrieved 2026-05-24)
