Ensemble deep learning for Alzheimer's disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models.
Saved in:
| Title: | Ensemble deep learning for Alzheimer's disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models. |
|---|---|
| Authors: | Alruily M; Computer ScienceDepartment, College of Computer and Information Sciences, Jouf University, Sakaka,Saudi Arabia., Abd El-Aziz AA; Information Systems Department, College of Computer andInformation Sciences, Jouf University, Sakaka, Saudi Arabia., Mostafa AM; Information Systems Department, College of Computer andInformation Sciences, Jouf University, Sakaka, Saudi Arabia., Ezz M; Computer ScienceDepartment, College of Computer and Information Sciences, Jouf University, Sakaka,Saudi Arabia., Mostafa E; Engineering & ResearchInternational (ERI), Riyadh, Saudi Arabia., Alsayat A; Computer ScienceDepartment, College of Computer and Information Sciences, Jouf University, Sakaka,Saudi Arabia., El-Ghany SA; Information Systems Department, College of Computer andInformation Sciences, Jouf University, Sakaka, Saudi Arabia. |
| Source: | PloS one [PLoS One] 2025 Apr 07; Vol. 20 (4), pp. e0318620. Date of Electronic Publication: 2025 Apr 07 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0318620 |
