A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's disease
IntroductionAs a progressive neurodegeneration, Alzheimer's disease (AD) represents the primary etiology of dementia among the elderly. Early identification of individuals with mild cognitive impairment (MCI) who are likely to convert to AD is essential for timely diagnosis and therapeutic inte...
Saved in:
| Main Authors: | Xiangyu Shen, Xiangyang Hu, Renfeng Zhang, Yunzhan Fu, Jiamin Xu, Degang Lyu, Hongbiao Xie, Deen Shi, Changsheng Shi, Lisi Li, Yuantong Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2025.1637291/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms
by: Pu Wang, et al.
Published: (2024-10-01) -
FPGA-oriented lightweight multi-modal free-space detection network
by: Feiyi Fang, et al.
Published: (2023-12-01) -
Attribute-based lightweight reconfigurable access control policy
by: Rongna XIE, et al.
Published: (2020-02-01) -
The Greek Version of the Mild Behavioral Impairment Checklist (MBI-C): Psychometric Properties in Mild Cognitive Impairment Due to Alzheimer’s Disease
by: Efthalia Angelopoulou, et al.
Published: (2025-04-01) -
In Situ and Real‐Time Multi‐Modality Imaging Guided Orderly Triple‐Therapy of Tumors with a Multifunctional Nanodrug
by: Chaoyi Yang, et al.
Published: (2025-07-01)