CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer’s disease

CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer’s disease

Abstract Background Alzheimer’s disease (AD) is a neurodegenerative disorder that significantly impacts health care worldwide, particularly among the elderly population. The accurate classification of AD stages is essential for slowing disease progression and guiding effective interventions. However...

Full description

Saved in:
Bibliographic Details
Main Authors: Jingyuan Liu, Xiaojie Yu, Hidenao Fukuyama, Toshiya Murai, Jinglong Wu, Qi Li, Zhilin Zhang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Geriatrics
Subjects:
Alzheimer’s disease
Deep learning
Small sample
Intermodality and intramodality
Multimodal medical images
Online Access:https://doi.org/10.1186/s12877-025-05771-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12877-025-05771-6

Similar Items