Performance Comparison and Analysis of Multiple Methods for Lung Cancer Detection Based on LUNA16

Lung cancer is one of the most common and deadly types of cancer worldwide. While computed tomography (CT) of the chest is considered the gold standard for early detection, manual evaluation faces two major challenges: Micronodules are often overlooked, and radiologists suffer from reduced efficiency due to overwhelming daily case numbers and persistent fatigue. To solve these problems, we employ the LUNA16 dataset (including 888 CTs, 1186 annotated nodules and more than 550K candidate samples)