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Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
Research article (Frontiers in Oncology, 2020) · cited 70× · AI/ML
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
Summary
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan is a scholarly article[1].
Key Facts
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-and-fusion-of-deep-learning-and-radiomics-features-of-ground-glass-nodules-to-predict-the-invasiveness-risk-o
MLA“Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-and-fusion-of-deep-learning-and-radiomics-features-of-ground-glass-nodules-to-predict-the-invasiveness-risk-o.
BibTeX@misc{4ortxyz_comparison-and-fusion-of-deep-learning-and-radiomics-features-of-ground-glass-nodules-to-predict-the-invasiveness-risk-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-and-fusion-of-deep-learning-and-radiomics-features-of-ground-glass-nodules-to-predict-the-invasiveness-risk-o}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan — https://4ort.xyz/entity/comparison-and-fusion-of-deep-learning-and-radiomics-features-of-ground-glass-nodules-to-predict-the-invasiveness-risk-o (retrieved 2026-05-24)
