Advances in the application of convolutional neural network in the diagnosis and treatment of early lung cancer
10.3760/cma.j.cn112434-20190923-00326
- VernacularTitle:卷积神经网络在早期肺癌诊疗方面的应用进展
- Author:
Yuhang XUE
1
;
Donglai CHEN
;
Yunlang SHE
;
Chang CHEN
;
Yongbing CHEN
;
Weihua XU
Author Information
1. 苏州大学附属第二医院胸心外科 215000
- From:
Chinese Journal of Thoracic and Cardiovascular Surgery
2020;36(9):569-572
- CountryChina
- Language:Chinese
-
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.
