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.
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/
To clone the repo:
git clone https://github.com/DimitrisReppas/Detect-pneumonia-in-chest-X-ray-images.gitTo install the requirements:
pip install -r /path/to/Detect-pneumonia-in-chest-X-ray-images/requirements.txt