MedFusionGAN: multimodal medical image fusion using an unsupervised deep generative adversarial network
Abstract Purpose 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 (MRI) image sequences to generate an image with CT bone structure and MRI so...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-12-01
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| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-023-01160-w |