Lung cancer is predominantly illustrated as the principal cause of cancer-related deaths globally, especially the diagnosis of late stages creates substantial reductions in survival rate. Recent advancements in artificial intelligence (AI) and medical imaging offer promising avenues for early and accurate detection of pulmonary malignancies. This paper introduces an EfficientNetB0 deep learning architecture used for performing multiclass lung cancer detection through computed tomography scan analysis. The EfficientNetB0 framework was validated, trained and tested on six clinically relevant CT scan image types within a publicly accessible Kaggle database. A combination of transfer learning wi... More >