Fig. 7 | Scientific Reports

Fig. 7

From: Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer

Fig. 7

Heatmap for normalized feature value distribution of the extracted 31 features between PCa and BPH. The red regions indicate positive correlations with PCa features, while the blue regions represent negative correlations with nPCa features. The color intensity is proportional to the strength of correlation (darker hues denote strong correlations, whereas lighter hues indicate weak correlations).

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