MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature
Alzheimer’s disease (AD) is a degenerative neurological condition characterized by cognitive decline, memory loss, and reduced everyday function, which eventually causes dementia. Symptoms develop years after the disease begins, making early detection difficult. While AD remains incurable, timely de...
Saved in:
| Main Authors: | Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Bioengineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-5354/11/11/1076 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ECO++: Adaptive deep feature fusion target tracking method in complex scene
by: Yuhan Liu, et al.
Published: (2024-10-01) -
Liver Semantic Segmentation Method Based on Multi-Channel Feature Extraction and Cross Fusion
by: Chenghao Zhang, et al.
Published: (2025-06-01) -
Deep joint learning diagnosis of Alzheimer’s disease based on multimodal feature fusion
by: Jingru Wang, et al.
Published: (2024-11-01) -
Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN
by: Xiangyong Liu, et al.
Published: (2024-08-01) -
A fine-grained human facial key feature extraction and fusion method for emotion recognition
by: Shiwei Li, et al.
Published: (2025-02-01)