Advances in the application of convolutional neural network in the diagnosis and treatment of early lung cancer / 中华胸心血管外科杂志
Chinese Journal of Thoracic and Cardiovascular Surgery
;
(12): 569-572, 2020.
Article
in Chinese
| WPRIM
| ID: wpr-871658
ABSTRACT
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Diagnostic study
/
Prognostic study
Language:
Chinese
Journal:
Chinese Journal of Thoracic and Cardiovascular Surgery
Year:
2020
Type:
Article
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