Scalable gastroscopic video summarization via similar-inhibition dictionary selection.

Journal: Artificial intelligence in medicine
Published Date: Aug 18, 2015

Abstract

OBJECTIVE: This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.

Authors

  • Shuai Wang
    Department of Intensive Care Unit, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Yang Cong
    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Nanta Street 114, Shenyang 110016, China.
  • Jun Cao
    Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Yunsheng Yang
    Department of Gastroenterology and Hepatology, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100000, China.
  • Yandong Tang
    State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Nanta Street 114, Shenyang 110016, China.
  • Huaici Zhao
    Key Laboratory of Image Understanding and Computer Vision, Shenyang Institute of Automation, Chinese Academy of Sciences, Nanta Street 114, Shenyang 110016, China.
  • Haibin Yu
    School of Electronics and Information, Hangzhou Dianzi University, Hangzhou 310018, China.

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