Classification of lung nodules using deep learning

被引：0

作者：

Kwajiri T. ^{[1
]}

Tezuka T. ^{[2
]}

机构：

[1] Department of Knowledge and Library Information Science, Faculty of Information, University of Tsukuba, Tsukuba

[2] Faculty of Library, Information, and Media Science, University of Tsukuba, Tsukuba

来源：

Transactions of Japanese Society for Medical and Biological Engineering | 2017年 / 55卷 / Proc期

关键词：

Cancer; Convolutional neural network; Deep learning; Deep neural network; Lung nodules; Residual network;

D O I：

10.11239/jsmbe.55Annual.516

中图分类号：

学科分类号：

摘要：

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. © 2017, Japan Soc. of Med. Electronics and Biol. Engineering. All rights reserved.

引用

页码：516 / 517

页数：1

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