Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer's disease detection.
Alzheimer's disease (AD) is a leading cause of disability worldwide. Early detection is critical for preventing progression and formulating effective treatment plans. This study aims to develop a novel deep learning (DL) model, Hybrid-RViT, to enhance the detection of AD. The proposed Hybrid-RV...
Saved in:
| Main Authors: | Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, Liang Zhou, Tao Wu, Nizhuan Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0318998 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Detection of Alzheimer Disease in Neuroimages Using Vision Transformers: Systematic Review and Meta-Analysis
by: Vivens Mubonanyikuzo, et al.
Published: (2025-02-01) -
Advanced semantic lung segmentation with a hybrid SegNet-ResNet50 network
by: Mohammad Farukh Hashmi, et al.
Published: (2025-08-01) -
EffRes-DrowsyNet: A Novel Hybrid Deep Learning Model Combining EfficientNetB0 and ResNet50 for Driver Drowsiness Detection
by: Sama Hussein Al-Gburi, et al.
Published: (2025-06-01) -
Voter Authentication Using Enhanced ResNet50 for Facial Recognition
by: Aminou Halidou, et al.
Published: (2025-05-01) -
A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms
by: Vikash Singh, et al.
Published: (2024-11-01)