Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks
ABSTRACTAlzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories MRI scans and detect AD on time. The annotated data is divided into patients with AD...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/09540091.2024.2321351 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850222846693867520 |
|---|---|
| author | Yinjun Zhang Lingzhi Wang |
| author_facet | Yinjun Zhang Lingzhi Wang |
| author_sort | Yinjun Zhang |
| collection | DOAJ |
| description | ABSTRACTAlzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories MRI scans and detect AD on time. The annotated data is divided into patients with AD and control groups. After GAN creates the synthetic and real images, the dataset is passed through CNN to detect spatial features from the scans. We used 30 slices from the region of the top brain above the eyes for learning. In order to train the CNNs and evaluate the results, the data is divided using the 10-fold cross-validation evaluating technique to validate the model, the accuracy estimates are 99.67%, 98.76%, respectively. |
| format | Article |
| id | doaj-art-6d6752ba3e804ce4a1fe95cfd4605dad |
| institution | OA Journals |
| issn | 0954-0091 1360-0494 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Connection Science |
| spelling | doaj-art-6d6752ba3e804ce4a1fe95cfd4605dad2025-08-20T02:06:12ZengTaylor & Francis GroupConnection Science0954-00911360-04942024-12-0136110.1080/09540091.2024.2321351Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networksYinjun Zhang0Lingzhi Wang1Guangxi Science and Technology Normal University, Laibin, ChinaGuangxi Science and Technology Normal University, Laibin, ChinaABSTRACTAlzheimer's disease (AD) is a neurological condition that impairs the patient's cognitive function. The article presents a deep learning architecture using the implicit image from MRI to categories MRI scans and detect AD on time. The annotated data is divided into patients with AD and control groups. After GAN creates the synthetic and real images, the dataset is passed through CNN to detect spatial features from the scans. We used 30 slices from the region of the top brain above the eyes for learning. In order to train the CNNs and evaluate the results, the data is divided using the 10-fold cross-validation evaluating technique to validate the model, the accuracy estimates are 99.67%, 98.76%, respectively.https://www.tandfonline.com/doi/10.1080/09540091.2024.2321351Alzheimer’s diseaseMRI image datadual GAN and pyramid networksdeep learning |
| spellingShingle | Yinjun Zhang Lingzhi Wang Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks Connection Science Alzheimer’s disease MRI image data dual GAN and pyramid networks deep learning |
| title | Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks |
| title_full | Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks |
| title_fullStr | Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks |
| title_full_unstemmed | Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks |
| title_short | Early diagnosis of Alzheimer’s disease using dual GAN model with pyramid attention networks |
| title_sort | early diagnosis of alzheimer s disease using dual gan model with pyramid attention networks |
| topic | Alzheimer’s disease MRI image data dual GAN and pyramid networks deep learning |
| url | https://www.tandfonline.com/doi/10.1080/09540091.2024.2321351 |
| work_keys_str_mv | AT yinjunzhang earlydiagnosisofalzheimersdiseaseusingdualganmodelwithpyramidattentionnetworks AT lingzhiwang earlydiagnosisofalzheimersdiseaseusingdualganmodelwithpyramidattentionnetworks |