Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2015, Article ID 202934, 11 pages
Research Article

A VidEo-Based Intelligent Recognition and Decision System for the Phacoemulsification Cataract Surgery

1Department of Computer Science and Technology, School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
2National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China
3Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Received 9 June 2015; Accepted 8 November 2015

Academic Editor: Chuangyin Dang

Copyright © 2015 Shu Tian 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 [1 citation]

The following is the list of published articles that have cited the current article.

  • Felix Yu, Gianluca Silva Croso, Tae Soo Kim, Ziang Song, Felix Parker, Gregory D. Hager, Austin Reiter, S. Swaroop Vedula, Haider Ali, and Shameema Sikder, “Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques,” JAMA Network Open, vol. 2, no. 4, pp. e191860, 2019. View at Publisher · View at Google Scholar