Background: Lung cancer is one of the most common forms of cancer resulting in over a million deaths per year worldwide. Typically, the problem can be approached by developing more discriminative diagnosis methods. In this paper, computeraided diagnosis was used to facilitate the prediction of characteristics of solitary pulmonary nodules in CT of lungs to diagnose early-stage lung cancer.
Tao Sun et al. REF proposed a CADx system to predict the characteristics of solitary pulmonary nodules in lung CT to diagnose early stage lung cancer.
Computer-Aided Diagnosis for Early-Stage Lung Cancer Based on Longitudinal and Balanced Data
PLoS ONE
PLoS ONE
Medicine