3D residual attention hierarchical fusion for real-time detection of the prostate capsule.

Journal: BMC medical imaging
Published Date: Jun 24, 2024

Abstract

BACKGROUND: For prostate electrosurgery, where real-time surveillance screens are relied upon for operations, manual identification of the prostate capsule remains the primary method. With the need for rapid and accurate detection becoming increasingly urgent, we set out to develop a deep learning approach for detecting the prostate capsule using endoscopic optical images.

Authors

  • Shixiao Wu
    School of Information Engineering, Wuhan Business University, Hubei, China.
  • Chengcheng Guo
    Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
  • Ayixiamu Litifu
    School of Physics and Electronic Information, Xinjiang Normal University, Urumqi, China.
  • Zhiwei Wang
    Department of Economics and Management, Nanjing Agricultural University, Nanjing, China.

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