Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.

Abstract

Authors

• Huaiqiang Sun
  Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, China.
• Haibo Qu
  Department of Radiology, West China Second Hospital of Sichuan University, Chengdu, Sichuan, China.
• Lu Chen
  Ultrasonic Department, Zhongda Hospital Affiliated to Southeast University, Nanjing, 210009, China.
• Wei Wang
  State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
• Yi Liao
  Department of Radiology, West China Second Hospital of Sichuan University, Chengdu, Sichuan, China.
• Ling Zou
  Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
• Ziyi Zhou
  Department of Otolaryngology Head and Neck Surgery，the Second Xiangya Hospital，Central South University，Changsha，410011，China.
• Xiaodong Wang
  Cardiovascular Department, TEDA International Cardiovascular Hospital, Tianjin, China.
• Shu Zhou

Keywords

External Resources