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Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans
Research article (European Journal of Radiology, 2020) · cited 47× · AI/ML
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans
Summary
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans is a scholarly article[1].
Key Facts
Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-combined-with-radiomics-may-optimize-the-prediction-in-differentiating-high-grade-lung-adenocarcinomas-in-
MLA“Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-combined-with-radiomics-may-optimize-the-prediction-in-differentiating-high-grade-lung-adenocarcinomas-in-.
BibTeX@misc{4ortxyz_deep-learning-combined-with-radiomics-may-optimize-the-prediction-in-differentiating-high-grade-lung-adenocarcinomas-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-combined-with-radiomics-may-optimize-the-prediction-in-differentiating-high-grade-lung-adenocarcinomas-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans — https://4ort.xyz/entity/deep-learning-combined-with-radiomics-may-optimize-the-prediction-in-differentiating-high-grade-lung-adenocarcinomas-in- (retrieved 2026-05-24)
