Research Article

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

Figure 9

(a) One representative circular model for the test process among 13 models with subcutaneous fat thicknesses ranging from 0.3 to 3.9 cm. (b) Percentage errors of thickness estimation using the proposed method. (c) Percentage errors of conductivity estimation using the proposed method.
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