This project is focused on developing a machine learning model to detect pneumonia from chest X-ray images. Using advanced image processing techniques and deep learning, this project aims to provide a reliable diagnostic tool for healthcare professionals.
The dataset for training and evaluating our model can be found here: Chest X-Ray Images (Pneumonia) Dataset.
This dataset includes a substantial collection of annotated chest X-ray images, labeled for the presence or absence of pneumonia, vital for training and validating our model.
- Image Preprocessing: Utilizing OpenCV and other libraries for image preparation.
- Deep Learning Model: A convolutional neural network (CNN) optimized for image recognition tasks.
- Accuracy Metrics: Precision, recall, and F1-score for performance evaluation.
- User Interface: An easy interface for uploading X-ray images and receiving diagnostic predictions.
Follow the instructions in the installation guide to set up the project environment and install dependencies.
A guide on using the model, from image input to interpreting the output, is included.
Guidelines for contributing to the project are provided, including coding standards and pull request procedures.
The project's licensing and usage terms are outlined in the license section.