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Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer
Research article (Frontiers in Oncology, 2022) · cited 27× · AI/ML
Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer
Summary
Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer is a scholarly article[1].
Key Facts
Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer's instance of is recorded as scholarly article[2].
References
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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). Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-for-per-fraction-automatic-segmentation-of-gross-tumor-volume-gtv-and-organs-at-risk-oars-in-adaptive-radi
MLA“Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-for-per-fraction-automatic-segmentation-of-gross-tumor-volume-gtv-and-organs-at-risk-oars-in-adaptive-radi.
BibTeX@misc{4ortxyz_deep-learning-for-per-fraction-automatic-segmentation-of-gross-tumor-volume-gtv-and-organs-at-risk-oars-in-adaptive-radi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-for-per-fraction-automatic-segmentation-of-gross-tumor-volume-gtv-and-organs-at-risk-oars-in-adaptive-radi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning for Per-Fraction Automatic Segmentation of Gross Tumor Volume (GTV) and Organs at Risk (OARs) in Adaptive Radiotherapy of Cervical Cancer — https://4ort.xyz/entity/deep-learning-for-per-fraction-automatic-segmentation-of-gross-tumor-volume-gtv-and-organs-at-risk-oars-in-adaptive-radi (retrieved 2026-05-24)
