COVID-19 Detector Flask App from Chest X-ray Images with Keras

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

In this blog, you will learn how to detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning, and make a web application of the same with our very own Flask!

This is how your web application will look …

A screenshot of the COVID-19 detector webapp with Flask

Inside of today’s blog, we will learn how to:

1. Download *open source datasets of *X-ray images *for patients who have *tested positive and normal for COVID-19 (link will be mentioned)
2. Preprocessing and creating a separate ‘Dataset’ folder containing the filtered out ‘Normal’ and ‘Covid’ X-ray images for further use.
3. Build a CNN to automatically detect COVID-19 in X-ray images via the Dataset we created.
4. Train our CNN and see the accuracy *on the *Test/Validation Data.
5. *Create the Flask *Web Application.

Note_ : This blog and related resources provided are only for educational purpose and does not claim any diagnostic performance in real. So please proceed further to read if you want to read through an educational perspective!_

OK ! SO LET’S BEGIN !

Step 1- Download the datasets from the links given below :

• Dataset containing Covid19 Positive X-ray Images

ieee8023/covid-chestxray-dataset

🛑 Note: please do not claim diagnostic performance of a model without a clinical study! This is not a kaggle…

github.com

• Dataset containing Covid19 Negative X-ray Images

Chest X-Ray Images (Pneumonia)

5,863 images, 2 categories

www.kaggle.com

data-science deep-learning covid19 machine-learning keras data analysis

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