Detecting COVID-19 in X-ray images with Keras, TensorFlow, and Deep Learning With Python Source Code

تشخیص COVID-19 (کرونا) با استفاده از تصاویر X-ray و کراس و تنسورفلو و یادگیری عمیق

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In this tutorial, you will learn how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.

Like most people in the world right now, I’m genuinely concerned about COVID-19. I find myself constantly analyzing my personal health and wondering if/when I will contract it.

It’s impossible to know without a test, and that “not knowing” is what makes this situation so scary from a visceral human level.

Inside of today’s tutorial, you will learn how to:

1- Sample an open source dataset of X-ray images for patients who have tested positive for COVID-19

2- Sample “normal” (i.e., not infected) X-ray images from healthy patients

3- Train a CNN to automatically detect COVID-19 in X-ray images via the dataset we created

4- Evaluate the results from an educational perspective

Our COVID-19 patient X-ray image dataset

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