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coronavirus_detection_using_chest_x_ray-1's Introduction

Coronavirus_Detection_using_Chest_X_ray

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Most people infected with the COVID-19 virus will experience mild to moderate respiratory illness and recover without requiring special treatment. Older people, and those with underlying medical problems like cardiovascular disease, diabetes, chronic respiratory disease, and cancer are more likely to develop serious illness.

The best way to prevent and slow down transmission is be well informed about the COVID-19 virus, the disease it causes and how it spreads. Protect yourself and others from infection by washing your hands or using an alcohol based rub frequently and not touching your face.

Objectives

The COVID-19 virus spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, so it’s important that you also practice respiratory etiquette (for example, by coughing into a flexed elbow).

Deep learning can be used to detect COVID-19 in a patient as recent studies has shown that people suffering from covid19 has infectiuos lung diseases. So in this project I am using deep learning to detect CoronaVirus using chest X-ray.

Installation

Copy and Run this in terminal:

pip3 install -r requirements.txt

git clone https://github.com/mona2401/Coronavirus_Detection_using_Chest_X_ray.git

Libraries used :

  * pandas
  * numpy
  * matplotlib
  * keras
  * sklearn
  * opencv2

Algorithms Used

  • Convolutional Neural Networks (CNN) in Deep Learning

forthebadge

For the Dataset Click Here https://drive.google.com/open?id=196D_HvmxYW6bJ0MlOvY5PgaEGJR0Oxsb

For more information click the link below

https://www.codespeedy.com/detection-of-covid-19-from-chest-x-ray-images-using-machine-learning/

coronavirus_detection_using_chest_x_ray-1's People

Contributors

kanishksh4rma avatar mona2401 avatar

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