DeepLN: an artificial intelligence-based automated system for lung cancer screening.

ABSTRACT:

Background

Lung cancer causes more deaths worldwide than any other cancer. For early-stage patients, low-dose computed tomography (LDCT) of the chest is considered to be an effective screening measure for reducing the risk of mortality. The accuracy and efficiency of cancer screening would be enhanced by an intelligent and automated system that meets or surpasses the diagnostic capabilities of human experts.

Methods

Based on the artificial intelligence (AI) technique, i.e., deep neural network (DNN), we designed a framework for lung cancer screening. First, a semi-automated annotation strategy was used to label the images for training. Then, the DNN-based models for the detection of lung nodules (LNs) and benign or malignancy classification were proposed to identify lung can

SUBMITTER: Guo J 

PROVIDER: S-EPMC7576052 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature