An automatic parathyroid recognition and segmentation model based on deep learning of near-infrared autofluorescence imaging.

Journal: Cancer medicine
PMID:

Abstract

INTRODUCTION: Near-infrared autofluorescence imaging (NIFI) can be used to identify parathyroid gland (PG) during surgery. The purpose of the study is to establish a new model, help surgeons better identify, and protect PGs.

Authors

  • Fan Yu
    Department of Thyroid, Breast and Hernia Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Tian Sang
    School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.
  • Jie Kang
    School of Communication and Electronic Engineering, East China Normal University, Shanghai 200241, China.
  • Xianzhao Deng
    Department of Thyroid, Breast and Hernia Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Bomin Guo
    Department of Thyroid, Breast and Hernia Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Hangzhou Yang
    Department of Thyroid, Breast and Hernia Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xiaoyi Chen
    Department of Ultrasound, Shenzhen Children's Hospital of China Medical University, Shenzhen, China.
  • Youben Fan
    Department of Thyroid, Breast and Hernia Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xuehai Ding
    School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China.
  • Bo Wu
    Beijing National Laboratory for Molecular Sciences Institute of Chemistry Chinese Academy of Sciences Beijing China.