生体医工学
Online ISSN : 1881-4379
Print ISSN : 1347-443X
ISSN-L : 1347-443X
 
Classification of Lung Nodules Using Deep Learning
Tomoki KwajiriTaro Tezuka
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2017 年 55Annual 巻 Proc 号 p. 516-517

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Deep learning methods such as the Convolutional Neural Network and the Residual Network were applied to CT scan images in order to classify whether lung nodules become cancerous or not. Especially, the effect of changing the number of layers in the Residual Network was. Experiment were carried out using several models having these two network architectures and consisting of different numbers of layers and parameters.

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© 2017 Japanese Society for Medical and Biological Engineering
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