
A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images
In this study, the authors aimed to develop a deep learning-based artificial intelligence (AI) scheme in order to predict the likelihood of the ground-glass nodule (GGN) being invasive adenocarcinoma that is detected in CT images. The study also compares the accuracy of the AI scheme with the predictions of two radiologists. The study results showed that using an AI scheme