Detect pneumonia in chest X-ray images

The main objective of the project is to develop an intelligent system to detect pneumonia in chest X-ray images. We consider the following steps:

• Explore the data and define appropriate classes
• Visualize data and employ appropriate preprocessing to X-ray images
• Develop the detection algorithms
  • Using features and classical machine learning techniques
  • Using neural network architectures
• Presentation of results

The code, to achieve the goals of this project, and the results can be found Project_code.ipynb.

Dataset

The dataset we use for the project can be found https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia. From its structure, we can distinguish 3 folders (test, valid and train)

Download the 3 folders and put them into: /path/to/Detect-pneumonia-in-chest-X-ray-images/

Run locally

To clone the repo:

  git clone https://github.com/DimitrisReppas/Detect-pneumonia-in-chest-X-ray-images.git

Requirements

To install the requirements:

  pip install -r /path/to/Detect-pneumonia-in-chest-X-ray-images/requirements.txt