Covid-19 Detection from Chest X-Rays using CNN

Covid 19 detection from chest x-ray using Convolutional Neural Network

Introduction

Identifying covid through chest x-rays

Dataset

Getting the dataset

I added the dataset used in this project in a zip file in case links below were broken for any reason. However, I recommend you install git-lfs in your workflow since it is a large file (1.15gb). Learn more about LFS here

• Can get the dataset used in my implementation here: Dataset

• You can get latest version of dataset on Kaggle. Dataset on Kaggle

• If you want images to create you own dataset:

  • Can get Pneumonia Chest x-ray data (images) (This would be images you'd see in viral directory of dataset file) here:https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia
  • You can probably get some C-19 x-ray images from this site: sirm.org -You can also get normal data from here: https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

Built With

• Python
• PyTorch

Live Demos

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

• Need to have CUDA installed: https://developer.nvidia.com/cuda-downloads

Setup

Install

To install relevant packages run following command: pip install -r requirements.txt

Usage

Run tests

Deployment

References

Authors

👤 Maya D. - child of God

• GitHub: @mcrd25
• LinkedIn: LinkedIn

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to check the issues page.

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

This project is based on the Cousera Guided course (with some experimental changes): Detecting COVID-19 with Chest X-Ray using PyTorch

📝 License

This project is MIT licensed.