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. 2019 Jul 4;1(1):20190021. doi: 10.1259/bjro.20190021

Figure 2. .

Figure 2. 

The evaluation of combination of handcraft features and latent variables for radiation-induced lung damage prediction,56 where, “RF”, random forest; “SVM”, support vector machine; “MLP”, multi-layer perceptron; “FQI”, feature quality index; “FSPP”, feature-based sensitivity of posterior probability; “WP”, weight pruning; “VAE”, variational autoencoders.