FIGURE 2.

Structure of the generator. The generator includes two autoencoders and one decoder. M1 represents the input for the first class of MRI images. M2 represents the input for the second class of MRI images. The encoder for M1 and M2 is similar, with input image dimensions of 3x256x256. After the first layer of encoding, the dimensions become 64x128x128. After the second layer of encoding, the dimensions become 128x64x64. After the third layer of encoding, the dimensions become 256x32x32. After the fourth layer of encoding, the dimensions become 512x16x16. The model integrates different encoding features separately in different blocks of the decoder. After feature fusion in different layers of the decoding blocks, the dimensions are 1536X16X16, 768X32X32, and 384X64X64, respectively. The low-dimensional features of the M1 and M2 encoders and the high-dimensional features of the previous layer’s output are fused into 192X128X128 after the final fusion. Finally, after up sampling, convolutional layers, and a Tanh activation function layer, it becomes a generated image of size 3X256X256.