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Chinese Journal of Thoracic and Cardiovascular Surgery ; (12): 569-572, 2020.
Artigo em Chinês | WPRIM | ID: wpr-871658

RESUMO

In recent years, convolutional neural network(CNN) has exhibited its promising prospect and research value in assisting the analysis of lung cancer. The CNN can automatically learn from the images to extract specific clinically relevant features. This review summarized the construction of CNN by inputting CT images for end-to-end analysis to predict lung cancer risk and the efficacy of clinical treatment, as well as the application of CNN for analyzing pathological slides of resected pulmonary nodules via inputting histopathologic images.

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