Alzheimer’s disease diagnosis using gray matter of T1‐weighted sMRI data and vision transformer
Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed · 2025
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Description
Maryam Akhavan Aghdam and two co-authors taught a smart vision model to spot Alzheimer's disease in brain scans. The model type, called a vision transformer, first rose to fame on plain photos. Here it read gray matter, the brain's outer working layer, in scan slices. The team drew their scans from a big shared bank for the disease.
The bank gave scans from seventy patients and eighty-five healthy adults. The model learned from slices cut two ways, from the side and from the front. It sorted patients from healthy adults with about ninety-eight percent accuracy both ways. That mark beat older scan-based tools the team set it against. The group sees the tool as a help for early, exact diagnosis, though clinic use will need far more tests.
Catalog record
| CREATOR | Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |