Lung Cancer Detection in CT Images Using Deep Learning

This project aims to develop a deep learning-based system for the early detection of lung cancer using chest CT scan images. The primary goal is to enhance diagnostic accuracy and reduce the time required for identifying cancerous nodules. By integrating advanced convolutional neural networks (CNNs) into the diagnostic process, the project seeks to provide a reliable and efficient tool that supports radiologists and improves patient outcomes.