Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations

Research article (Medical Physics, 2020) · cited 41× · AI/ML
Press Enter · cited answer in seconds

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations

Summary

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations is a scholarly article[1].

Key Facts

  • Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations's instance of is recorded as scholarly article[2].

📑 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). Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations. Retrieved May 24, 2026, from https://4ort.xyz/entity/head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t
MLA “Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t.
BibTeX @misc{4ortxyz_head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations}}, year = {2026}, url = {https://4ort.xyz/entity/head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations — https://4ort.xyz/entity/head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/head-and-neck-cancer-patient-images-for-determining-autosegmentation-accuracy-in-t2weighted-magnetic-resonance-imaging-t · Last refreshed: