Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

Abstract Background Accurately detecting and examining lung nodules early is key in diagnosing lung cancers and thus one of the best ways to prevent lung cancer deaths. Radiologists spend countless hours detecting small spherical-shaped nodules in computed tomography (CT) images. In addition, even a...

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Bibliographic Details
Main Authors: Hwejin Jung, Bumsoo Kim, Inyeop Lee, Junhyun Lee, Jaewoo Kang
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Imaging
Subjects:
Convolutional neural network
Deep learning
Ensemble
Lung nodule
Lung cancer
Online Access:http://link.springer.com/article/10.1186/s12880-018-0286-0

Internet

http://link.springer.com/article/10.1186/s12880-018-0286-0

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