A multi-Task Learning based applicable AI model simultaneously predicts stage, histology, grade and LNM for cervical cancer before surgery.

Journal: BMC women's health
Published Date:

Abstract

PURPOSE: To build an Mult-Task Learning (MTL) based Artificial Intelligence(AI) model that can simultaneously predict clinical stage, histology, grade and LNM for cervical cancer before surgery.

Authors

  • Zhixiang Wang
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Huiqiao Gao
    Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Xinghao Wang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Marcin Grzegorzek
    Institute for Vision and Graphics, University of Siegen, Hoerlindstr. 3, 57076 Siegen, Germany.
  • Jinfeng Li
    Department of Radiology, First Medical Center, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, P. R. China.
  • Hengzi Sun
    Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Yidi Ma
    Department of Obstetrics and Gynecology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Xuefang Zhang
    Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Youyidong Road, Xi'an, 710000, Shaanxi, China.
  • Zhen Zhang
    School of Pharmacy, Jining Medical University, Rizhao, Shandong, China.
  • Andre Dekker
    Department of Radiation Oncology (MAASTRO Clinic), Dr. Tanslaan 12, Maastricht, The Netherlands.
  • Alberto Traverso
    Maastricht University Medical Centre, Netherlands.
  • Zhenyu Zhang
    Laboratory of Industrial Biotechnology of Department of Education, Jiangnan University, Wuxi 214122, Jiangsu, China.
  • Linxue Qian
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
  • Meizhu Xiao
    Department of Pharmacogenomics, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150086, P. R. China.
  • Ying Feng
    Department of Ultrasound, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.