Fig. 7From: Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy responseInterpretability of radiomics features. A Random Forest for feature importance assessment. B Correlation assessment of the top 20 contributing radiomics features with the abundance of 24 TME cell infiltrationBack to article page