A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

Objective To develop a deep learning–based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme with that of two radiologists.