PVTAD: Alzheimer's disease diagnosis using Pyramid Vision Transformer applied to white matter of T1-weighted structural MRI data

Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, & Alzheimer’s Disease Neuroimaging Initiative. (2023). PVTAD: Alzheimer’s Disease Diagnosis Using Pyramid Vision Transformer Applied To White Matter Of T1-Weighted Structural MRI Data. bioRxiv, 2023-12. https://doi.org/10.1101/2023.11.17.567617

Prerequisites

Required packages can be installed on python3.6 environment.

Installing Libraries & Dependencies

pip install tensorflow
pip install keras
pip install scikit-learn
pip install tfimm
pip install timm
pip install opencv-python

Data

In this research, we used T1-weighted magnetization prepared rapid gradient echo (MPRAGE) sMRI scans from Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (https://adni.loni.usc.edu/).

Train & Test

All models including ResNet-18, standard ViT(Tiny), Pyramid ViT (Tiny), and parallel ResNet-18 & standard ViT(Tiny) were implemented in PVTAD_Project.ipynb

Run PVTAD_Project.ipynb

In case of any questions please contact: fsaeed@fiu.edu