Lung Cancer Detection using CNN

A deep learning project to detect lung cancer from medical images using Convolutional Neural Networks.

• Description
• Prerequisites
• Installation
• Usage
• Training
• Evaluation
• Contributing
• License

Lung cancer is a deadly disease, and early detection is crucial for improving patient outcomes. This project aims to build a lung cancer detection system using Convolutional Neural Networks (CNN) that can analyze medical images (e.g., X-rays or CT scans) and identify potential cancerous regions. The trained model can assist radiologists in diagnosing lung cancer at an earlier stage.

Key features of this project:

• Preprocessing of medical images to prepare data for training and evaluation.
• Training a CNN model to classify images as cancerous or non-cancerous.
• Evaluation metrics to assess the model's performance.
• User-friendly interface for running the trained model on new images.

Before you begin, ensure you have met the following requirements:

• Python 3.x
• TensorFlow
• NumPy
• OpenCV
• matplotlib

To install the required dependencies, use pip:

pip install tensorflow numpy opencv-python matplotlib