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Journal of Healthcare Engineering
Volume 2018, Article ID 6874765, 8 pages
https://doi.org/10.1155/2018/6874765
Research Article

Comparison of Machine-Learning Classification Models for Glaucoma Management

1R&D Division, Topcon Corporation, Tokyo, Japan
2Cloud-Based Eye Disease Diagnosis Joint Research Team, RIKEN Center for Advanced Photonics, RIKEN, Wako, Japan
3Tohoku University Graduate School of Medicine, Sendai, Japan
4Image Processing Research Team, RIKEN Center for Advanced Photonics, RIKEN, Wako, Japan

Correspondence should be addressed to Masahiro Akiba; pj.oc.nocpot@abika-m

Received 27 December 2017; Revised 6 April 2018; Accepted 18 April 2018; Published 19 June 2018

Academic Editor: Altaf Hussain

Copyright © 2018 Guangzhou An 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

Guangzhou An, Kazuko Omodaka, Satoru Tsuda, et al., “Comparison of Machine-Learning Classification Models for Glaucoma Management,” Journal of Healthcare Engineering, vol. 2018, Article ID 6874765, 8 pages, 2018. https://doi.org/10.1155/2018/6874765.