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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Conditional generative adversarial network driven radiomic prediction of mutation status based on magnetic resonance imaging of breast cancer

Fig. 2

Architecture diagram for deep learning models. A Overall study design. Patient directional tensor containing 17 latent features fed into the cGAN for MRI generation and subsequent mutation status prediction. B Architecture diagram of cGAN model. C Labelled synthetic image from cGAN and real patient MRI from TCIA goes through several layers for a binary classification result to be generated

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