Loading...
Please wait, while we are loading the content...
Similar Documents
An MRI Scans-Based Alzheimer's Disease Detection via Convolutional Neural Network and Transfer Learning
| Content Provider | MDPI |
|---|---|
| Author | Chui, Kwok Tai Gupta, Brij B. Alhalabi, Wadee Alzahrani, Fatma Salih |
| Copyright Year | 2022 |
| Description | Alzheimer’s disease (AD) is the most common type (>60%) of dementia and can wreak havoc on the psychological and physiological development of sufferers and their carers, as well as the economic and social development. Attributed to the shortage of medical staff, automatic diagnosis of AD has become more important to relieve the workload of medical staff and increase the accuracy of medical diagnoses. Using the common MRI scans as inputs, an AD detection model has been designed using convolutional neural network (CNN). To enhance the fine-tuning of hyperparameters and, thus, the detection accuracy, transfer learning (TL) is introduced, which brings the domain knowledge from heterogeneous datasets. Generative adversarial network (GAN) is applied to generate additional training data in the minority classes of the benchmark datasets. Performance evaluation and analysis using three benchmark (OASIS-series) datasets revealed the effectiveness of the proposed method, which increases the accuracy of the detection model by 2.85–3.88%, 2.43–2.66%, and 1.8–40.1% in the ablation study of GAN and TL, as well as the comparison with existing works, respectively. |
| Starting Page | 1531 |
| e-ISSN | 20754418 |
| DOI | 10.3390/diagnostics12071531 |
| Journal | Diagnostics |
| Issue Number | 7 |
| Volume Number | 12 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-06-23 |
| Access Restriction | Open |
| Subject Keyword | Diagnostics Medical Informatics Alzheimer's Disease Automatic Diagnosis Convolutional Neural Network Deep Learning Dementia Generative Adversarial Network Imbalanced Dataset Mri Scans Transfer Learning |
| Content Type | Text |
| Resource Type | Article |
