doi:10.3969/j.issn.1674-490X.2021.06.005

Abstract

Abstract: Lung cancer is the most common cancer and the leading cause of cancer death worldwide. Early diagnosis of lung cancer can reduce mortality. Radiomics can extract the quantitative features of the images by computer software to explore more disease information of lung cancer and improve the early diagnosis rate. This article reviews the application of imaging omics in the early diagnosis of lung cancer in order to improve the understanding of the application of radiomics in the diagnosis of lung cancer.

Key words: radiomics, lung cancer, pulmonary nodules

CLC Number:

References

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