Deep Learning-Based Automated Detection of Lung Cancer from CT Scans: A Comparative Study


 ABSTRACT
 Lung cancer is one of the leading causes death resulting from disease on a global scale. In order to provide effective therapy and achieve better outcomes for patients, early detection diagnosis are essential. Deep learning (DL) algorithms have demonstrated significant promise in recent years their use medical imaging analysis, particularly lung cancer. This paper includes comparative comparison number different DL based models automated computed tomography (CT) data.