Early detection of lung cancer is crucial for improving survival rates. With advances in artificial intelligence techniques, there is significant potential to enhance the accuracy and efficiency of diagnosing pulmonary nodules in their early stages. This study aims to evaluate and compare the performance of various deep learning algorithms in detecting pulmonary nodules using low-dose CT scans
Artificial Intelligence-Assisted Detection of Early-Stage Lung Nodules: A Comparative Study of Deep Learning Algorithms in Low-Dose CT Scans
Dr. Ahmed Abdelwahab Nayel.
( Department of Computer Science Faculty of Science University of Tobruk - Libya )