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
em Zh
| WPRIM
| ID: wpr-871658
Biblioteca responsável:
WPRO
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.
Texto completo:
1
Índice:
WPRIM
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Thoracic and Cardiovascular Surgery
Ano de publicação:
2020
Tipo de documento:
Article