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EJNMMI Research
Fig. 1 | EJNMMI Research

Fig. 1

From: Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

Fig. 1

Comparison between different feature sets of the four classical machine learning methods, based on mean AUCs and mean ACCs of the 10 times 10-fold cross-validation. The error bars indicate 95% confidence interval. The p value between different feature sets are plotted as bridge and stars, where two stars means p < 0.05 after both Bonferroni and FDR corrections, and one star means p < 0.05 only after FDR correction

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