Overview

This project is my Undergraduate Final Year Project, focusing on the classification of medical images.

How to Run the Project

Download Files:

• Download main.py.
• Download the Weights folder.

Set Up:

• Update the path to the weights in the main.py file to match your local directory.
• Install all necessary packages by manually installing the required libraries.

Running the Project:

• Run main.py.
• A file selection dialog will appear; choose one or multiple medical images for classification.
• The runtime will vary based on the number of selected images.

Saving the Results:

• After processing, a save dialog will prompt you to select the location and name for the report.
• The report will be saved in the specified location.
• The time taken to save the report also depends on the number of images processed.

Training the Model

If you wish to train the model on your own:

Download Files:

• Download the Dataset folder.
• Download the Training & Testing Code folder.

Set Up:

• Update the directory paths in the training and testing scripts as needed.

Training:

• Follow the instructions in the code to train the model with your dataset.

Additional Resources

• Architecture Diagram: Refer to the Diagrams folder.
• Results Snaps: Available in the Results folder.
• Project Explanation: Detailed explanation provided in the Project Description folder.

Contact

If you have any questions or need further assistance, feel free to contact me at prajith.k19022003@gmail.com.