Lung Cancer Detection with Neural Networks

The Lung Cancer Detection project utilizes neural networks to analyze medical imaging data for the early identification of lung cancer. By processing CT scans or X-rays, the system assists healthcare professionals in detecting abnormalities and potential cancerous nodules. The neural networks enhance diagnostic accuracy, enabling timely intervention and improving patient outcomes. This application stands at the forefront of medical advancements, providing a valuable tool for early cancer detection.

Software Requirements :-

1. Operating System: Win 7 or more
2. Programming Language: Python

Hardware Requirement :-

1. Processor-i3
2. Hard disk-5GB
3. Memory-2GB RAM