A multiscale double-branch residual attention network for anatomical–functional medical image fusion

• Published in: Computers in biology and medicine Vol. 141; p. 105005
• Main Authors: Li, Weisheng, Peng, Xiuxiu, Fu, Jun, Wang, Guofen, Huang, Yuping, Chao, Feifei
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.02.2022; Elsevier Limited
• Subjects: Algorithms; Artificial neural networks; Attention; Clustering; Computer vision; Decomposition; Deep learning; Dictionaries; Disease Progression; Double branches; Explosions; Feature extraction; Frequency dependence; Humans; Image fusion; Image processing; Image Processing, Computer-Assisted; Image reconstruction; Kernels; Magnetic resonance imaging; Medical imaging; Metabolism; Methods; Modules; Multiscale; Neural networks; Neural Networks, Computer; Optimization algorithms; Optimization techniques; Residual; Technology; Tomography; Wavelet transforms; Double branches; Residual; Image fusion; Multiscale; Attention

Medical image fusion technology synthesizes complementary information from multimodal medical images. This technology is playing an increasingly important role in clinical applications. In this paper, we propose a new convolutional neural network, which is called the multiscale double-branch residua...