Fig. 4From: MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial networkQualitative comparison of the proposed MedFusionGAN with seven state-of-the-art traditional fusion methods are illustrated for four different image slices. Red and green arrows show the image artifacts. Blue arrows within the white boxes indicate the distinction between skull and scalp. Yellow arrow shows the indistinguishable border between white matter and gray matter. Red boxes are served to zoom in to the cancerous regions to show the image contrasts of different traditional fusion methods. Red horizontal lines indicate the location of the image profile shown in Fig. 8aBack to article page