CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images

Abstract Background Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especially for detecting micro-nodules (diameter < 3 mm)...

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Bibliographic Details
Main Authors: Patrice Monkam, Shouliang Qi, Mingjie Xu, Fangfang Han, Xinzhuo Zhao, Wei Qian
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BioMedical Engineering OnLine
Subjects:
Lung cancer management
Convolutional neural networks
Computed tomography (CT) images
Micro-nodules
Image classification
Online Access:http://link.springer.com/article/10.1186/s12938-018-0529-x

Internet

http://link.springer.com/article/10.1186/s12938-018-0529-x

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