COVID-19 detection by X-ray images

That project is a development approach to Convolutional Neural Networks (CNN).

Contents

• Objective
• Role
• Dataset
• Tools
• Models
• Code
• Results

Objective

Develop and train and AI which classifies and identifies chest illnesses: COVID, viral pneumonia, bacterial pneumonia.

Role

Freelancer consultant for Hospital in Toronto. Automate the proces of identifying and classifying chest illnesses. Reduce costs and dectection times.

Datasets

The Data Team has already classify chest X-Rays available in the folders: data_train and data_test.

Labels:

0 - COVID 1 - Healthy 2 - Viral Pneumonia 3 - Bacterial Pneumonia

Tools

• Google Colab
• Google Drive
• Tensorflow 2.9.1
• PowerPoint

Models

The models of the different compiled, trained and optimized deep neural networks are included in the following link to google drive

Code

The different versions of the Python notebooks are contained in the code folder.

Results

In this llink to google drive or in the presentation folder there is a PowerPoint which introduces the development steps and reveals the main results for the classifications.

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