Medical Image Classification Web Application

This web application is built using Django and utilizes pre-trained machine learning models to classify medical images for brain tumor, chest X-ray, and melanoma cancer. Users can upload their medical images and get predictions on whether the images indicate the presence of cancer.

Table of Contents

1. Installation
2. Usage
3. Features
4. Technologies Used
5. Model Information
6. Data Sources
7. Docker pull

1. Installation

Prerequisites

• Python 3.11.2
• Django 4.2.3
• TensorFlow (for using the machine learning models)
• Other Python libraries as specified in the requirements.txt

Setup

1. Clone this repository to your local machine. git clone https://github.com/harshkasat/Diagnose.git

2. Create a virtual environment: python -m venv .venv

3. Activate virtual environment: .\.venv\Scripts\activate

4. Install the required packages: pip install -r requirements.txt

5. Change dir for Django development server: cd diagnose

6. Run the Django development server: python manage.py runserver

7. Access the application at http://localhost:8000/

2. Usage

1. Upload a medical image for classification.
2. The application will use the pre-trained machine learning models to make predictions.
3. The results will be displayed, indicating whether the image shows signs of brain tumor, chest X-ray abnormalities, or melanoma cancer.

3. Features

• Image upload and classification for brain tumor detection.
• Image upload and classification for chest X-ray abnormalities.
• Image upload and classification for melanoma cancer detection.

4. Technologies Used

• Django: Web framework for backend development.
• HTML, CSS: Frontend development.
• TensorFlow: Machine learning library for the models.
• Python: Backend and model implementation.

5. Model Information

• Brain Tumor Model: Trained on a dataset of brain MRI images using CNN architecture.
• Chest X-ray Model: Trained on a dataset of chest X-ray images using transfer learning with a pre-trained model.
• Melanoma Cancer Model: Trained on a dataset of skin lesion images using CNN architecture.

6. Data Sources

• Brain Tumor Dataset: Brain Tumor
• Chest X-ray Dataset: Pneumonia
• Melanoma Cancer Dataset: Melanoma Cancer

7. Acknowledgments

• Install Docker
• docker pull zedmate/python-django