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Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study
Research article (Cancers, 2021) · cited 22× · AI/ML
Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study
Summary
Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study is a scholarly article[1].
Key Facts
Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study's A Pilot Study — 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). Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-genomics-feature-selection-method-in-radiomics-pipeline-improves-prognostication-performance-in-locally-advanced-e
MLA“Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-genomics-feature-selection-method-in-radiomics-pipeline-improves-prognostication-performance-in-locally-advanced-e.
BibTeX@misc{4ortxyz_using-genomics-feature-selection-method-in-radiomics-pipeline-improves-prognostication-performance-in-locally-advanced-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study}}, year = {2026}, url = {https://4ort.xyz/entity/using-genomics-feature-selection-method-in-radiomics-pipeline-improves-prognostication-performance-in-locally-advanced-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Genomics Feature Selection Method in Radiomics Pipeline Improves Prognostication Performance in Locally Advanced Esophageal Squamous Cell Carcinoma—A Pilot Study — https://4ort.xyz/entity/using-genomics-feature-selection-method-in-radiomics-pipeline-improves-prognostication-performance-in-locally-advanced-e (retrieved 2026-05-24)