Home ›
Entities
› academia
› Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability
Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability
Research article (Journal of Applied Clinical Medical Physics, 2024) · cited 11× · AI/ML
Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability
Summary
Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability is a scholarly article[1].
Key Facts
Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability'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). Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-dosimetric-impact-of-deeplearningbased-autosegmentation-in-prostate-cancer-radiotherapy-insights-into-rea
MLA“Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-dosimetric-impact-of-deeplearningbased-autosegmentation-in-prostate-cancer-radiotherapy-insights-into-rea.
BibTeX@misc{4ortxyz_evaluating-the-dosimetric-impact-of-deeplearningbased-autosegmentation-in-prostate-cancer-radiotherapy-insights-into-rea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-dosimetric-impact-of-deeplearningbased-autosegmentation-in-prostate-cancer-radiotherapy-insights-into-rea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the dosimetric impact of deep‐learning‐based auto‐segmentation in prostate cancer radiotherapy: Insights into real‐world clinical implementation and inter‐observer variability — https://4ort.xyz/entity/evaluating-the-dosimetric-impact-of-deeplearningbased-autosegmentation-in-prostate-cancer-radiotherapy-insights-into-rea (retrieved 2026-05-24)
