HIGHLIGHTS
- who: Yang Liu et al. from the College of Electronics and Information Engineering, Sichuan University, Chengdu, China have published the paper: Multi-Scale Mixed Attention Network for CT and MRI Image Fusion, in the Journal: Entropy 2022, 24, 843. of /2022/
- what: The authors propose a CNN-based CT and method (MMAN) which adopts a visual saliency-based strategy to preserve more useful information. To improve the fusion effect, the authors design a mixed attention block to refine the extracted features in the encoder block. The authors propose a multi-scale mixed attention block (MMAB . . .
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