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project 1 (AI in health Care): A Convolutional Neural Network to classify chest xray images of a person.

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saadhaxxan/Chest_xrays_pneumonia_detection

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Chest_X_ray_pneumonia_prediction

This notebook used Keras with tensorflow as backend and CNN (Convolutional Neural Network) to predict about Chest X-rays scan image that whether a person has Pneumonia or he is Normal.

DataSet

  1. goto https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia/

  2. Download the dataset and move it to the working directory of jupyter notebook.

  3. Import the data by using your own directory or folder name you opted for the data set.

Test and Run it Now

Google Colab notebook of this Project is available here. Open In Colab

Note

This project has both python notebook file and .py script. Run the code using Google Colab https://colab.research.google.com/ or locally in jupyter notebook. If you are running it locally first install the rquirements before running the files (download the requirements using requirement.txt file).

pip install -r requirement.txt

Author

You can get in touch with me on my LinkedIn Profile:

Saad Hassan

LinkedIn Link

You can also follow my GitHub Profile to stay updated about my latest projects: GitHub Follow

If you liked the repo then kindly support it by giving it a star ⭐!

Contributions Welcome

forthebadge

If you find any bug in the code or have any improvements in mind then feel free to generate a pull request.

Issues

GitHub Issues

If you face any issue, you can create a new issue in the Issues Tab and I will be glad to help you out.

License

MIT

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project 1 (AI in health Care): A Convolutional Neural Network to classify chest xray images of a person.

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