Alzheimer's Disease Classification Model

Pre-Final Bachelor's Reasearch Project. Built using Python, PyTorch, and TorchVision Library, this project involves the development of a high-accuracy Alzheimer's disease classification model using a neural network. The model features enhanced interpretability through Layer-wise Relevance Propagation (LRP) for improved diagnosis and transparency in medical decision-making.

Technologies Used

• Python
• PyTorch
• TorchVision
• Matplotlib
• NumPy
• Scikit Learn
• Layer-wise Relevance Propagation (LRP)

Installation

To install the required packages, run the following commands:

pip install torch torchvision torchaudio
pip install matplotlib
pip install numpy

Usage

Clone the repository:

git clone https://github.com/AakashKumar-Code/Alzheimer-s-AI.git
cd Alzheimer-s-AI

Ensure you have all dependencies installed by running the installation commands provided above.

Run the main script or notebook to train the model and evaluate its performance.

Slides

Here are the slides explaining the project in detail: