Runnan Chen

Pulmonary CT classification based on CNN and Grad-CAM explainability using VGG16 and MobileNetV2

Abstract Objectives This study compared the classification performance of VGG16 and MobileNetV2 models for normal-versus-lung-cancer-positive pulmonary CT image classification, with Grad-CAM used for post-hoc visual explainability. Methods A hospital-provided dataset of 550 non-c...