Electrical Impedance Tomography-Based Abdominal Subcutaneous Fat Estimation Method Using Deep Learning

Figure 4

Schematic diagram of the MLP used in this study. To apply the MLP, we require a training dataset, as shown in the blue box. In the red box, we illustrate the details of the MLP structure. The numbers in the black box indicate numbers of nodes. The inputs are obtained from the training dataset and the outputs are conductivity values.