A Transfer Learning Framework for Lung Cancer Classification Using EfficientV2-L: Generalizability Assessment

Lung cancer remains the deadliest cancer type worldwide, necessitating improved early detection and diagnostic methods to reduce the high mortality rate. Artificial intelligence, particularly deep learning, has shown remarkable success in analyzing medical images and classifying tumors. Despite their success, the majority of these systems have a lack of generalizability. In this work, we provide a...