This project leveraged convolutional neural networks (CNNs) to classify chest CT images into cancerous vs. non-cancerous.

Key steps:

• Preprocessed DICOM images
• Trained CNN on labeled data
• Achieved 93% test accuracy

Result: AI-assisted diagnostics with improved early detection capability.

Explore the code and methodology on GitHub.