Lung Disease Detection from Chest X-ray

Table of contents

• Introduction
• Technologies
• Setup
• Usage

Introduction

The goal of this project to build a web and mobile app which will diagnose lung diseases from chest x-ray image using deep learning. It will also guide radiologists to make fast and accurate diagnose by segmented and showing heat-map of the chest X-Ray images prior to classifying them.

Technologies

Project is created with:

• Python: 3.8
• Tensorflow: 2.4.1
• Flask: 1.1.2
• React: 17.0.1
• Flutter: 1.22.6

Setup

To run this project, install it locally using pip:

$ mkvirtualenv chest_xray
$ workon chest_xray
$ pip install requirnments.txt

$ cd ./web_app
$ npm install

Usage

Dataset

Donwload the following datasets and store them inside ./chest_xray/dataset.

• NIH Chest X-rays
• Tuberculosis Chest X-rays (Shenzhen)
• Tuberculosis Chest X-rays (Montgomery)

Train and test model

$ cd ./chest_xray
$ python build_dataset.py
$ python train.py
$ python test.py
$ python predict.py --image example.png --model model.hdf5

$ run the Lung Disease Detection jupyter notebook (alternative)

Test the web app

$ cd ./web_app
$ npm start

On new terminal
$ export FLASK_APP=predict_app.py
$ python -m flask run