Synthetic Medical Image Generation using GANs

A Flask web application for generating synthetic medical images using Generative Adversarial Networks (GANs). This project supports multiple medical imaging modalities and provides a user-friendly interface for researchers and developers.

🚀 Features

• Multiple Datasets: Support for ChestMNIST, PathMNIST, BrainMNIST, and more
• GAN Models: Various GAN architectures (StyleGAN2, DCGAN, WGAN, etc.)
• Web Interface: Easy-to-use Flask web application
• Customizable Generation: Control over image count, random seeds, and parameters
• Export Functionality: Download generated images for research use

📋 Prerequisites

• Python 3.8+
• TensorFlow 2.x
• Flask
• See requirements.txt for full dependencies

🛠️ Installation

1. Clone the repository:

   git clone https://github.com/your-username/Synthetic-Medical-Image-Generator.git
   cd medical-gan-flask