Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.

European Journal of Radiology(2020)

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摘要
•High-grade lung ADC might be predicted by radiomics combined with deep learning.•The proposed RDL has achieved an overall accuracy of 0.913.•RDL framework reached accuracy of 0.966 in the verifying of an independent dataset.•Framework of radiomics with deep learning reveals advantage over traditional methods.
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关键词
Deep learning,Ground glass opacifications,Micropapillary,Non-small cell lung cancer (NSCLC),Radiomics
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