Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence

Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence

Abstract Background A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs). Methods Images from the Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) database were used in AlexNet and GoogLeNet to d...

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Bibliographic Details
Main Authors: Wenjing Ye, Wen Gu, Xuejun Guo, Ping Yi, Yishuang Meng, Fengfeng Han, Lingwei Yu, Yi Chen, Guorui Zhang, Xueting Wang
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BioMedical Engineering OnLine
Subjects:
Pulmonary nodule
Ground-glass opacity
Deep learning
Artificial intelligence
Computer-aided diagnosis
Online Access:http://link.springer.com/article/10.1186/s12938-019-0627-4

Internet

http://link.springer.com/article/10.1186/s12938-019-0627-4

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