A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers

A Hybrid Deep Learning Framework for Early-Stage Alzheimer’s Disease Classification From Neuro-Imaging Biomarkers

Alzheimer’s disease, a leading neurodegenerative disorder, poses significant challenges to modern healthcare, emphasizing the urgent need for precise early-stage diagnostics. Despite promising insights from neuroimaging into potential AD biomarkers, the intricacy of data interpretation de...

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Bibliographic Details
Main Authors: Samina Akram, Muhammad Amjad Iqbal, Muhammad Rashid, Muhammad Shahid Bhatti, Benish Fida
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
Alzheimer’s disease
neuro-imaging biomarkers
multi-stage AD classification
magnetic resonance imaging
ensemble methodology
Online Access:https://ieeexplore.ieee.org/document/11015957/
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