Compared with traditional imaging,deep learning models can quantitatively describe the deep level feature information of images and have shown important application value in pulmonary ground-glass nodules(GGN)research.They have great potential for early diagnosis of lung adenocarcinoma.This article reviews the research progress of deep learning models in pulmonary GGN.
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