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Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer
Research article (Molecular Imaging and Biology, 2021) · cited 38× · AI/ML
Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer
Summary
Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer is a scholarly article[1].
Key Facts
Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-a-machine-learning-approach-for-the-analysis-of-clinical-and-radiomic-features-of-pretreatment-18f-fdg-pe
MLA“Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-a-machine-learning-approach-for-the-analysis-of-clinical-and-radiomic-features-of-pretreatment-18f-fdg-pe.
BibTeX@misc{4ortxyz_application-of-a-machine-learning-approach-for-the-analysis-of-clinical-and-radiomic-features-of-pretreatment-18f-fdg-pe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-a-machine-learning-approach-for-the-analysis-of-clinical-and-radiomic-features-of-pretreatment-18f-fdg-pe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer — https://4ort.xyz/entity/application-of-a-machine-learning-approach-for-the-analysis-of-clinical-and-radiomic-features-of-pretreatment-18f-fdg-pe (retrieved 2026-05-24)
