GIAE-Net: A gradient-intensity oriented model for multimodal lung tumor image fusion

GIAE-Net: A gradient-intensity oriented model for multimodal lung tumor image fusion

Multimodal medical image fusion plays an important role in medical clinical applications. However, gradient features and intensity features are not extracted inadequately in fusion methods. To solve the above problems, this paper proposes a Gradient-Intensity oriented Automatic Encode-Decode multimo...

Full description

Bibliographic Details
Main Authors: Tao Zhou, Long Liu, Huiling Lu, Yuxia Niu, Yujie Guo, Yunfeng Pan, Wenxing Bao
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Lung Tumor
Multimodal medical image
Image fusion
Gradient feature
Intensity feature
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098624001137

Internet

http://www.sciencedirect.com/science/article/pii/S2215098624001137

Similar Items