Home ›
Entities
› academia
› Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models
Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models
Research article (Physica Medica, 2024) · cited 11× · AI/ML
Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models
Summary
Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models is a scholarly article[1].
Key Facts
Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models'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 segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models. Retrieved May 24, 2026, from https://4ort.xyz/entity/automated-segmentation-in-pelvic-radiotherapy-a-comprehensive-evaluation-of-atlas-machine-learning-and-deep-learning-bas
MLA“Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automated-segmentation-in-pelvic-radiotherapy-a-comprehensive-evaluation-of-atlas-machine-learning-and-deep-learning-bas.
BibTeX@misc{4ortxyz_automated-segmentation-in-pelvic-radiotherapy-a-comprehensive-evaluation-of-atlas-machine-learning-and-deep-learning-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models}}, year = {2026}, url = {https://4ort.xyz/entity/automated-segmentation-in-pelvic-radiotherapy-a-comprehensive-evaluation-of-atlas-machine-learning-and-deep-learning-bas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models — https://4ort.xyz/entity/automated-segmentation-in-pelvic-radiotherapy-a-comprehensive-evaluation-of-atlas-machine-learning-and-deep-learning-bas (retrieved 2026-05-24)