Alzheimer’s disease detection from magnetic resonance imaging: a deep learning perspective
Aim: Up to date many successful attempts to identify various types of lesions with machine learning (ML) were made, however, the recognition of Alzheimer’s disease (AD) from brain images and interpretation of the models is still a topic for the research. Here, using AD Imaging Initiative (ADNI) stru...
Main Authors: | Karolina Armonaite, Marco La Ventura, Luigi Laura |
---|---|
Format: | Article |
Language: | English |
Published: |
Open Exploration Publishing Inc.
2023-06-01
|
Series: | Exploration of Neuroprotective Therapy |
Subjects: | |
Online Access: | https://www.explorationpub.com/Journals/ent/Article/100443 |
Similar Items
-
Magnetic resonance imaging image-based segmentation of brain tumor using the modified transfer learning method
by: Sandeep Singh, et al.
Published: (2022-01-01) -
Analysis and Research on Technical and Tactical Action Recognition in Football Based on 3D Neural Network
by: Feng Chao, et al.
Published: (2023-07-01) -
An Alzheimer’s disease classification method using fusion of features from brain Magnetic Resonance Image transforms and deep convolutional networks
by: Akbar Asgharzadeh-Bonab, et al.
Published: (2023-12-01) -
Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
by: Mohammed G. Alsubaie, et al.
Published: (2024-02-01) -
Deep Multi-Branch CNN Architecture for Early Alzheimer’s Detection from Brain MRIs
by: Paul K. Mandal, et al.
Published: (2023-09-01)