MGMDcGAN: Medical Image Fusion Using Multi-Generator Multi-Discriminator Conditional Generative Adversarial Network
In this paper, we propose a novel end-to-end model for fusing medical images characterizing structural information, i.e., IS, and images characterizing functional information, i.e., IF, of different resolutions, by using a multi-generator multi-discriminator conditional generative adversarial networ...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9042283/ |