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Journal of Healthcare Engineering
Volume 2018, Article ID 8961781, 13 pages
https://doi.org/10.1155/2018/8961781
Research Article

Gastric Pathology Image Classification Using Stepwise Fine-Tuning for Deep Neural Networks

1Department of Intelligent Interaction Technologies, University of Tsukuba, Tsukuba 305-8573, Japan
2Department of Surgical Pathology, Toho University Sakura Medical Center, Sakura 285-8741, Japan
3Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, Japan

Correspondence should be addressed to Jia Qu; pj.ca.abukust.u@9120331s

Received 23 March 2018; Revised 14 May 2018; Accepted 27 May 2018; Published 21 June 2018

Academic Editor: Santosh K. Vipparthi

Copyright © 2018 Jia Qu 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.

Citations to this Article [3 citations]

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  • Łukasz Rączkowski, Marcin Możejko, Joanna Zambonelli, and Ewa Szczurek. View at Publisher · View at Google Scholar
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  • Andrew D Jones, John Paul Graff, Morgan Darrow, Alexander Borowsky, Kristin A Olson, Regina Gandour‐Edwards, Ananya Datta Mitra, Dongguang Wei, Guofeng Gao, Blythe Durbin‐Johnson, and Hooman H Rashidi, “Impact of pre‐analytical variables on deep learning accuracy in histopathology,” Histopathology, vol. 75, no. 1, pp. 39–53, 2019. View at Publisher · View at Google Scholar