Generative adversarial network for trimodal medical image fusion using primitive relationship reasoning
J Huang, X Li, H Tan, X Cheng - IEEE Journal of Biomedical …, 2024 - ieeexplore.ieee.org
Medical image fusion has become a hot biomedical image processing technology in recent
years. The technology coalesces useful information from different modal medical images …
years. The technology coalesces useful information from different modal medical images …
Revolutionizing tumor detection and classification in multimodality imaging based on deep learning approaches: methods, applications and limitations
BACKGROUND: The emergence of deep learning (DL) techniques has revolutionized tumor
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
detection and classification in medical imaging, with multimodal medical imaging (MMI) …
A multi-slice attention fusion and multi-view personalized fusion lightweight network for Alzheimer's disease diagnosis
Q Zhang, Y Long, H Cai, S Yu, Y Shi, X Tan - BMC Medical Imaging, 2024 - Springer
Objective Alzheimer's disease (AD) is a type of neurological illness that significantly impacts
individuals' daily lives. In the intelligent diagnosis of AD, 3D networks require larger …
individuals' daily lives. In the intelligent diagnosis of AD, 3D networks require larger …