Transformer-Based Multimodal Image Fusion in Healthcare: A Comprehensive Survey of Architectures, Fusion Strategies, and Clinical Applications
Transformer architectures have changed how multimodal medical image fusion works. Convolutional neural network (CNN)-based methods are constrained to local receptive fields; transformers use self-attention and cross-modal interactions to capture dependencies across the full image, which matters when aligning magnetic r...
N. Jagtap, D. J. Saini, Prasun Chakrabarti
· Journal of Data Science and... · 0 citations