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🚀 3. Glaucoma Detection DCNN

# Glaucoma Detection using DCNN

A deep learning-based medical imaging system for detecting glaucoma from retinal images using convolutional neural networks.

## 🧠 Features
- Binary classification (Glaucoma / Normal)
- Deep CNN architecture
- Transfer learning experiments
- Dataset preprocessing pipeline

## 🏥 Dataset
- 1190-image retinal dataset (2 classes)

## 🛠 Tech Stack
- Python
- TensorFlow / Keras
- OpenCV
- Jupyter Notebook

## 📊 Performance
- Accuracy comparison across architectures
- Model evaluation using validation metrics

## 📁 Usage
```bash
git clone https://github.com/Chege-N/Glaucoma-Detection-DCNN