A comparative study of attention mechanism based deep learning methods for bladder tumor segmentation.

Journal: International journal of medical informatics
Published Date: Jan 5, 2023

Abstract

BACKGROUND: Artificial intelligence aided tumor segmentation has been applied in various medical scenarios and showed effectiveness in helping physicians observe the potential malignant tissues. However, little research has been conducted for the cystoscopic image segmentation problem.

Authors

  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Yinglu Liang
    School of Information Technology & Management, University of International Business & Economics, Beijing 100029, China.
  • Yi Zhang
    Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University, Jilin University, Changchun, China.
  • Zihao Tao
    Department of Urology, Peking University Third Hospital, Beijing 100191, China.
  • Rui Li
    Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
  • Hai Bi
    Department of Urology, Peking University Third Hospital, Beijing 100191, China. Electronic address: bihai@bjmu.edu.cn.

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