Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules

Advances in intelligent diagnosis methods for pulmonary ground-glass opacity nodules

Abstract Pulmonary nodule is one of the important lesions of lung cancer, mainly divided into two categories of solid nodules and ground glass nodules. The improvement of diagnosis of lung cancer has significant clinical significance, which could be realized by machine learning techniques. At presen...

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Bibliographic Details
Main Authors: Jing Yang, Hailin Wang, Chen Geng, Yakang Dai, Jiansong Ji
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BioMedical Engineering OnLine
Subjects:
Ground glass nodules
Lung cancer
Early diagnosis
Nodular signs
Prediction models
Intelligent diagnosis
Online Access:http://link.springer.com/article/10.1186/s12938-018-0435-2

Internet

http://link.springer.com/article/10.1186/s12938-018-0435-2

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