A Latent Multi-Scale Residual Transformer Approach for Cross-Modal Medical Image Synthesis
Cross-modal generation has emerged as a crucial method for addressing the challenge of filling in missing modalities in medical imaging. Existing approaches predominantly utilize convolutional neural networks (CNNs) or vision transformers (ViTs) and their variants as model backbones. Consequently, i...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10945304/ |
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