Multimodal medical image fusion based on visual saliency map and multichannel dynamic threshold neural P systems in sub-window variance filter domain
X Feng, C Fang, G Qiu - Biomedical Signal Processing and Control, 2023 - Elsevier
As a powerful image enhancement technique, multimodal medical image fusion has been
widely used for biomedical diagnosis and surgical navigation. However, the trade-off …
widely used for biomedical diagnosis and surgical navigation. However, the trade-off …
[HTML][HTML] DRCM: a disentangled representation network based on coordinate and multimodal attention for medical image fusion
W Huang, H Zhang, Y Cheng, X Quan - Frontiers in Physiology, 2023 - frontiersin.org
Recent studies on medical image fusion based on deep learning have made remarkable
progress, but the common and exclusive features of different modalities, especially their …
progress, but the common and exclusive features of different modalities, especially their …
Adaptive spatial and frequency experts fusion network for medical image fusion
X Gu, L Wang, Z Deng, Y Cao, X Huang… - … Signal Processing and …, 2024 - Elsevier
Multi-modal medical image fusion is essential for the precise clinical diagnosis and surgical
navigation since it can merge the complementary information in multi-modalities into a …
navigation since it can merge the complementary information in multi-modalities into a …
Multi-object tracking using context-sensitive enhancement via feature fusion
Y Zhou, J Chen, D Wang, X Zhu - Multimedia Tools and Applications, 2024 - Springer
Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer
vision. Most MOT methods generally face the problem of not being able to handle pedestrian …
vision. Most MOT methods generally face the problem of not being able to handle pedestrian …
AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention
X Gu, L Wang, Z Deng, Y Cao, X Huang… - arXiv preprint arXiv …, 2023 - arxiv.org
Multi-modal medical image fusion is essential for the precise clinical diagnosis and surgical
navigation since it can merge the complementary information in multi-modalities into a …
navigation since it can merge the complementary information in multi-modalities into a …