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Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules
Research article (Molecular Imaging and Radionuclide Therapy, 2022) · cited 20× · AI/ML
Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules
Summary
Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules is a scholarly article[1].
Key Facts
Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules. Retrieved May 24, 2026, from https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-models-based-on-lt-sup-gt-18-lt-sup-gt-f-fdg-pet-ct-radiomic-features-in-the-
MLA“Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-models-based-on-lt-sup-gt-18-lt-sup-gt-f-fdg-pet-ct-radiomic-features-in-the-.
BibTeX@misc{4ortxyz_diagnostic-performance-of-machine-learning-models-based-on-lt-sup-gt-18-lt-sup-gt-f-fdg-pet-ct-radiomic-features-in-the-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules}}, year = {2026}, url = {https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-models-based-on-lt-sup-gt-18-lt-sup-gt-f-fdg-pet-ct-radiomic-features-in-the-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Diagnostic Performance of Machine Learning Models Based on <sup>18</sup>F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules — https://4ort.xyz/entity/diagnostic-performance-of-machine-learning-models-based-on-lt-sup-gt-18-lt-sup-gt-f-fdg-pet-ct-radiomic-features-in-the- (retrieved 2026-05-24)
