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Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images
Research article (BMC Medical Imaging, 2023) · cited 18× · AI/ML
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images
Summary
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images is a scholarly article[1].
Key Facts
Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images'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). Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-lymph-node-status-in-patients-with-early-stage-cervical-cancer-based-on-radiomic-features-of-magnetic-reso
MLA“Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-lymph-node-status-in-patients-with-early-stage-cervical-cancer-based-on-radiomic-features-of-magnetic-reso.
BibTeX@misc{4ortxyz_prediction-of-lymph-node-status-in-patients-with-early-stage-cervical-cancer-based-on-radiomic-features-of-magnetic-reso_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-lymph-node-status-in-patients-with-early-stage-cervical-cancer-based-on-radiomic-features-of-magnetic-reso}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images — https://4ort.xyz/entity/prediction-of-lymph-node-status-in-patients-with-early-stage-cervical-cancer-based-on-radiomic-features-of-magnetic-reso (retrieved 2026-05-24)
