Endoscopic Image-Based Identification of Gastrointestinal Abnormalities Using CNNs

This MATLAB project applies Convolutional Neural Networks (CNNs) to endoscopic images for identifying gastrointestinal (GI) abnormalities like ulcers, inflammation, and tumors.

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🧠 Project Summary

Endoscopic imaging is crucial in early detection of GI diseases. This project automates the identification process using a CNN-based approach built in MATLAB, making diagnosis faster and more efficient.

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📁 File Structure

• main.m – Main execution file (run this to start the process)
• .m files – Source code for feature extraction, CNN layers, processing logic
• .mat files – Include trained models, datasets, and intermediate results
• Presentation.pptx – Final presentation slides
• Project_Report.pdf – Detailed technical report

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⚙️ How to Run

1. Open MATLAB
2. Set the current directory to this project folder
3. Run: main.m file

output