Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.

Abstract

Authors

• Haolin Chen
  School of Biomedical Engineering, Southern Medical University, 1023 Shatainan Road, Guangzhou, 510515, China.
• Shuqi Li
  School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
• Youming Zhang
  Helmholtz International Lab for Anti-Infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, Shandong 266237, PR China.
• Lizhi Liu
  Department of Anesthesiology, Division of Critical Care Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
• Xiaofei Lv
  Department of Medical Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China.
• Yongju Yi
  Center for Network Information, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
• Guangying Ruan
  Department of Radiology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
• Chao Ke
  State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Centre, Guangzhou, China. kechao@sysucc.org.cn.
• Yanqiu Feng
  School of Biomedical Engineering, Southern Medical University, Guangzhou, China.

Keywords

External Resources