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This is a python app that uses a custom-trained ResNet50 model to determine the lung disease.

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Lung Disease Detection

This repository contains scripts for training a model to detect lung diseases from images, and a frontend application to run the model.

Running the application

  • To run the application, simply run the frontend.py file. It will use the pretrained model to determine the lung disease.
  • This will start up the tkinter application.

    Training the model

  • Clone this repository to your local machine
    git clone https://github.com/yourusername/lung-disease-detection.git
    cd lung-disease-detection
  • Download the dataset from here. Then, create a folder named datasets, and unzip into this folder.
  • Run the train.py file to train the model.

    Contributions

    We welcome contributions to improve this project! To contribute, please follow these steps:

    1. Fork the repository to your GitHub account.
    2. Clone the forked repository to your local machine:
    git clone https://github.com/aadium/lung-disease-detection.git
    cd lung-disease-detection
    1. Create a new branch for your contribution:
    git checkout -b your-branch-name
    1. Make your desired changes or additions to the codebase.
    2. Commit your changes with descriptive commit messages:
    git commit -m "Add feature XYZ"
    1. Push your changes to your forked repository:
    git push origin your-branch-name
    1. Open a pull request on the original repository to propose your changes.

    Thank you for your contribution!

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    This is a python app that uses a custom-trained ResNet50 model to determine the lung disease.

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