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covid-19 ☣ detection using X-ray Chest medical images with deep convolution neural network (CNN)

License: MIT License

Python 1.70% Jupyter Notebook 98.30%
covid-19 cnn cnn-classification cnn-keras neural-network deep-learning covid19 covid-19-data tensorflow keras-tensorflow dataset coronavirus

covid-19-detection-cnn's Introduction

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Coronavirus ☣ Detection using CNN with python

Build Status Gem Version License GitHub repo size

DISCLAIMER: This model was designed and implemented for educational purposes. it MUST NOT be used for medical diagnosis as it was NOT tested by a field expert.

Introduction:

During the covid-19 epidemic a lote of data were collected about covid-19 therefore i tried to make this repo using covid-19 Chest X-ray data and using deep convolution neural network model for Chest X-ray medical images screening and detecting covid-19.

Dataset:

  1. The posstive cases of COVID-19 X-ray images taken from Dr. Cohen in his repo
  2. The normal cases taken from dataset that's published in Kaggle's dataset Here.

Result

  • The accuracy for both models is above 95% accuracy on the validation set. training and validation accuracies and losses :

first model seconde model

Contributing

Step 1

  • Option 1

    • 🍴 Fork this repo!
  • Option 2

    • 👯 Clone this repo

Step 2

  • HACK AWAY! 🔨🔨🔨

if you like this repo give me a star! 🌟

License

License

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