Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression

Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer’s disease progression

Abstract Background Alzheimer’s disease (AD) is the principal cause of dementia and requires the early diagnosis of people with mild cognitive impairment (MCI) who are at high risk of progressing. Early diagnosis is imperative for optimizing clinical management and selecting proper therapeutic inter...

Full description

Saved in:
Bibliographic Details
Main Authors: Sepehr Aghajanian, Fateme Mohammadifard, Ida Mohammadi, Shahryar Rajai Firouzabadi, Ali Baradaran Bagheri, Elham Moases Ghaffary, Omid Mirmosayyeb
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Alzheimer’s Research & Therapy
Subjects:
Alzheimer’s disease
Mild cognitive impairment
MRI
Radiomics
Deep learning
Longitudinal analysis
Online Access:https://doi.org/10.1186/s13195-025-01827-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items