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BioMed Research International
Volume 2017 (2017), Article ID 4067832, 6 pages
https://doi.org/10.1155/2017/4067832
Research Article

Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks

1School of Health Sciences, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake City, Aichi 470-1192, Japan
2School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake City, Aichi 470-1192, Japan
3Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan

Correspondence should be addressed to Atsushi Teramoto; pj.ca.uh-atijuf@otomaret

Received 5 May 2017; Revised 20 June 2017; Accepted 5 July 2017; Published 13 August 2017

Academic Editor: Noriyoshi Sawabata

Copyright © 2017 Atsushi Teramoto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Atsushi Teramoto, Tetsuya Tsukamoto, Yuka Kiriyama, and Hiroshi Fujita, “Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks,” BioMed Research International, vol. 2017, Article ID 4067832, 6 pages, 2017. doi:10.1155/2017/4067832