Pneumonia and Covid-19 detection from Chest-PA X-ray Using Convolutional Neural Networks

Coronavirus disease (covid-19), which first appeared in China in December 2019, spread rapidly around the world and it has been declared as a pandemic by the WHO. Our project aim is to identify and classify the person?s chest-PA X-rays as severity of disease not only restricted to Covid-19 but also

Project Title

Pneumonia and Covid-19 detection from Chest-PA X-ray Using Convolutional Neural Networks

Project Area of Specialization

Artificial Intelligence

Project Summary

Coronavirus disease (covid-19), which first appeared in China in December 2019, spread rapidly around the world and it has been declared as a pandemic by the WHO. Our project aim is to identify and classify the person’s chest-PA X-rays as severity of disease not only restricted to Covid-19 but also commonly occurring diseases like pneumonia. This project is to develop and train a model using Machine Learning and Deep Learning and deploy it on web app.

Project Objectives

Our objective is to identify and classify the person’s chest-PA X-rays as severity of disease not only restricted to Covid-19 but also commonly occurring diseases like pneumonia. There will be three classes (Covid 19, Pneumonia and Normal/Healthy). We have developed and trained a model using Machine Learning and Deep Learning and will deploy it on web app.

Project Implementation Method

In this project, we built deep CNN based DenseNet121, InceptionV3 and VGG16 models for the classification of COVID-19 Chest X-ray images to three different classes (Class1 = COVID-19, Class2 = normal (healthy), Class3 = Pneumonia). In addition, we applied transfer learning technique that was realized by using ImageNet data to overcome the insufficient data. To overcome the problem of over-fitting and to enhance the accuracy we apply data augmentation. The augmentation included horizontal flip, rotation and zoom of images.

Benefits of the Project

The completed project should accomplish the following benefits:

1. Self Education: A large part of this project contains a lot of self education, as part of this project the student should have a good knowledge of deep learning.

2. System: Detection of Covid and pneumonia: The system should be able to detect the disease within the chest xray images that users have uploaded. 

Technical Details of Final Deliverable

We understand the user and the technical aspect prior to implementation. This ensures that the project is agile, possibly giving more value to users and not heavily focused on the technical detail of the application.

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com