https://github.com/ryandsilva/alzheimers-detection

Alzheimers Detection using MRI Scans :hospital:
https://github.com/ryandsilva/alzheimers-detection

alzheimers densenet fastai mri-images oasis-dataset

Last synced: 22 days ago
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Alzheimers Detection using MRI Scans :hospital:

• Host: GitHub
• URL: https://github.com/ryandsilva/alzheimers-detection
• Owner: RyanDsilva
• Created: 2019-10-16T19:27:10.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-28T07:56:38.000Z (over 1 year ago)
• Last Synced: 2025-04-11T18:25:06.637Z (22 days ago)
• Topics: alzheimers, densenet, fastai, mri-images, oasis-dataset
• Language: Jupyter Notebook
• Homepage:
• Size: 101 MB
• Stars: 4
• Watchers: 1
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Alzheimers Detection using MRI Scans 🏥

## Getting Started

```bash

git clone 

cd alzheimers-fastai

tar -xf dataset.tar.xz

pip install -r requirements.txt

python alzheimers_pred.py

```

#### Use `data.tar.xz` only if using 5-Fold-Cross-Validation

> OR

[![](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/RyanDsilva/alzheimers-detection/blob/master/Alzheimers_Pred.ipynb)

> OR

#### Use the pretrained model from `models/alzheimers.pt`

## Approach 📑

- Use of OASIS dataset considering the three scan angles as individual truth thus expanding the dataset by 3x.

- Transfer Learning on DenseNet201

- Trained for 5+25 epochs

> More `epochs`, `data_transforms` may improve results.

![DenseNet201](./assets/densenet201.png)

## Results ✨

- Accuracy of ~ 81%.

### Confusion Matrix:

![Confusion Matrix](./assets/confusion.png)