Chest X-Ray Pathology Detector with Grad-CAM

This project uses a pre-trained DenseNet-121 model to detect common thoracic pathologies in chest X-ray images and visualizes the results using Grad-CAM heatmaps.

Setup

1. Clone the repository or download the files.

2. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install the required libraries:

   pip install -r requirements.txt

How to Run

1. Edit main.py: Open the main.py file and change the IMAGE_PATH variable on line 13 to the path of your X-ray image.

   # line 13
   IMAGE_PATH = "C:/Users/YourUser/Desktop/chest_xray.png"

2. Run the script from your terminal:

   python main.py

The script will then print the analysis results to the console and display plots for the probabilities and Grad-CAM heatmaps.