MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network

This study proposed an end-to-end unsupervised medical fusion generative adversarial network, MedFusionGAN, to fuse computed tomography (CT) and high-resolution isotropic 3D T1-Gd Magnetic resonance imaging (M...

https://bmcmedimaging.biomedcentral.com/articles/10.1186/s12880-023-01160-w

Source: BMC Medical Imaging - December 7, 2023 Category: Radiology Authors: Mojtaba Safari, Ali Fatemi and Louis Archambault Tags: Research Source Type: research

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