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Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation
Research article (European Radiology, 2020) · cited 36× · AI/ML
Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation
Summary
Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation is a scholarly article[1].
Key Facts
Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learningbased-ct-texture-analysis-to-predict-hpv-status-in-oropharyngeal-squamous-cell-carcinoma-comparison-of-2
MLA“Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learningbased-ct-texture-analysis-to-predict-hpv-status-in-oropharyngeal-squamous-cell-carcinoma-comparison-of-2.
BibTeX@misc{4ortxyz_machine-learningbased-ct-texture-analysis-to-predict-hpv-status-in-oropharyngeal-squamous-cell-carcinoma-comparison-of-2_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learningbased-ct-texture-analysis-to-predict-hpv-status-in-oropharyngeal-squamous-cell-carcinoma-comparison-of-2}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning–based CT texture analysis to predict HPV status in oropharyngeal squamous cell carcinoma: comparison of 2D and 3D segmentation — https://4ort.xyz/entity/machine-learningbased-ct-texture-analysis-to-predict-hpv-status-in-oropharyngeal-squamous-cell-carcinoma-comparison-of-2 (retrieved 2026-05-24)
