Quantum Ecosystem for Medical Imaging

Overview

This repository contains the code and resources for the Quantum Ecosystem for Medical Imaging project. The project aims to leverage quantum computing techniques to enhance medical imaging processes.

Features

Implementation of quantum algorithms for image processing.
Integration with classical machine learning models.
Automated preprocessing and feature extraction.

Repository Structure

main.py: Main script to run the application.
model.py: Contains model definitions and training routines.
preprocessfunc.py: Functions for preprocessing medical images.
utils.py: Utility functions used across the project.
finalized_model.sav: Saved model file.
Data files: .csv files containing the dataset.

Setup

Clone the repository:

git clone https://github.com/GauthamPrabhuM/Quantum-Ecosystem-for-Medical-Imaging-.git

Navigate to the project directory:

cd Quantum-Ecosystem-for-Medical-Imaging-

Install the required dependencies:
```
pip install -r requirements.txt
```

Usage

Run the main script to start the application:

python main.py