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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
[Application of artificial intelligence in combination with CT radiomics in chronic obstructive pulmonary disease]
1Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100043, China.
Abstract:
As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screening of lung cancer in smokers, we have more opportunities to use CT images to identify patients with early-stage chronic obstructive pulmonary disease(COPD). Furthermore, with the continuous advancement of artificial intelligence, it can not only assist clinicians in the early diagnosis and treatment of COPD patients through the analysis of lung CT scans but also help guide treatment strategies. This article primarily reviewed the application of artificial intelligence combined with CT radiomics in the diagnosis and treatment of chronic obstructive pulmonary disease.
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