Classification of Lung Nodules Using Deep Learning
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- Kawajiri Tomoki
- Department of Knowledge and Library Information Science, Faculty of Information, University of Tsukuba
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- Tezuka Taro
- Faculty of Library, Information, and Media Science, University of Tsukuba
Bibliographic Information
- Other Title
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- 深層学習を用いた肺腫瘍の判別
Description
<p>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.</p>
Journal
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- Transactions of Japanese Society for Medical and Biological Engineering
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Transactions of Japanese Society for Medical and Biological Engineering 55Annual (3AM-Abstract), 161-161, 2017
Japanese Society for Medical and Biological Engineering
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Details 詳細情報について
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- CRID
- 1390282680246044672
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- NII Article ID
- 130006076915
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- ISSN
- 18814379
- 1347443X
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed