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Fig. 1 | Biomarker Research

Fig. 1

From: Improving the prediction of Spreading Through Air Spaces (STAS) in primary lung cancer with a dynamic dual-delta hybrid machine learning model: a multicenter cohort study

Fig. 1

The framework of this study. This work mainly contained three steps: feature extraction by delta-radiomics and deep learning from the delta-images of lung tumors acquired by image registration, feature merging and selection where ICC values were applied to select the features with reliability and 45 methods were applied to optimize the feature set, optimized classification where 32 AI methods were tested. Model performances were evaluated by ROAUC and confusion matrix where two external cohort (ZS Cohort and Ninth Cohort) were used for cross-center validation

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Biomarker Research

ISSN: 2050-7771

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