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🫁 Lung Cancer Detection System

An AI-powered web application that detects lung cancer from CT scan images using a Convolutional Neural Network (CNN). The system provides multi-class predictions, risk assessment, and generates a professional medical report in PDF format.

🚀 Features

  • 📤 Upload CT scan images

  • 🧠 CNN-based multi-class prediction:

    • Benign
    • Malignant
    • Normal

  • 📊 Confidence score visualization (line graph)

  • ⚠️ Risk level classification (Low / Medium / High)

  • 🧾 Auto-generated professional PDF report

  • 👤 Patient details form (Name, Age, Sex)

  • 🖼️ CT scan image included in report

🛠️ Tech Stack

  • Frontend/UI: Streamlit

  • Backend: Python

  • Model: TensorFlow / Keras (CNN)

  • Libraries Used:

    • NumPy
    • Pillow
    • Matplotlib
    • FPDF

🧠 Model Overview

  • Input: CT Scan Image (224 × 224)

  • Architecture:

    • 3 Convolutional Layers
    • MaxPooling Layers
    • Fully Connected Dense Layers
    • Dropout for regularization

  • Output: 3-class Softmax (Benign, Malignant, Normal)

📂 Project Structure

Lung-Cancer-Detection/
│── app.py
│── lung_cancer_model.h5
│── requirements.txt
│── README.md

⚙️ Installation & Setup

  1. Clone the repository:
git clone https://github.com/your-username/lung-cancer-detection.git
cd lung-cancer-detection
  1. Create virtual environment (optional but recommended):
python -m venv venv
venv\Scripts\activate   # Windows
  1. Install dependencies:
pip install -r requirements.txt
  1. Run the application:
streamlit run app.py

🌐 Deployment

This app can be deployed using Streamlit Community Cloud:

  1. Push project to GitHub
  2. Go to Streamlit Cloud
  3. Connect repository
  4. Deploy app.py

📊 Output

  • Prediction label (Benign / Malignant / Normal)
  • Confidence score
  • Risk level
  • Visualization graph
  • Downloadable PDF medical report

⚠️ Disclaimer

This system is developed for educational purposes only. It is not intended to replace professional medical diagnosis. Always consult a qualified healthcare professional for medical advice.

👩‍💻 Author

Rakshanda Noor B.Tech Project – Lung Cancer Detection using Deep Learning

⭐ Acknowledgment

Dataset sourced from Kaggle. Model trained using CNN architecture for medical image classification.