Motivation

Lung cancer is the leading cause of cancer death worldwide, and early detection is crucial for improving survival rates. While traditional imaging methods like chest X-rays and CT scans have limitations in detecting small nodules, advanced techniques such as low-dose CT and MRI offer better resolution but are costlier and more time-consuming. Deep learning-based computer-aided diagnosis (CAD) systems have demonstrated remarkable accuracy in identifying lung nodules on medical images, offering a promising solution for early detection and potentially improving patient outcomes.