Fp<sup>roi</sup>-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images

<div>Comparison of Fp<sup>roi</sup>-GAN with the three other synthesis methods on the BRATS 2017 dataset, where III is the visual performance in ITK-SNAP. (a) Input image (HGG). (b) DCGAN. (c) Pix2Pix. (d) cycleGAN. (e) Fp<sup>roi</sup>-GAN. (f) Input image (LGG). (g) DCGAN. (h) Pix2Pix. (i) cycleGAN. (j) Fp<sup>roi</sup>-GAN.</div>

Journal of Healthcare Engineering

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Figure 7

Figure 7: Fp<sup>roi</sup>-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images 

Journal of Healthcare Engineering

Fproi-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images

Figure 7

Fp^roi-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images