Automated segmentation of brain metastases with deep learning: A multi-center, randomized crossover, multi-reader evaluation study.

Abstract

Authors

• Xiao Luo
  Department of Spine Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, China.
• Yadi Yang
  State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
• Shaohan Yin
  State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
• Hui Li
  Department of Ophthalmology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
• Ying Shao
• Dechun Zheng
  Department of Radiology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, Fujian Province, China.
• Xinchun Li
  Guangxi Key Laboratory of Pharmaceutical Precision Detection and Screening, Key Laboratory of Micro-Nanoscale Bioanalysis and Drug Screening of Guangxi Education Department, Pharmaceutical College, State Key Laboratory of Targeting Oncology, Guangxi Medical University, Nanning 530021, China.
• Jianpeng Li
  Department of Cardiology, Taizhou Second People's Hospital, The Affiliated Taizhou Second People's Hospital of Yangzhou University, Taizhou, China.
• Weixiong Fan
  Department of Magnetic Resonance, Guangdong Provincial Key Laboratory of Precision Medicine and Clinical Translational Research of Hakka Population, Meizhou People's Hospital, Meizhou, China.
• Jing Li
  Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
• Xiaohua Ban
  Imaging Diagnostic and Interventional Center, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
• Shanshan Lian
  State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guang zhou, Guangdong Province, China.
• Yun Zhang
  Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
• Qiuxia Yang
  Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China.
• Weijing Zhang
  Imaging Department, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
• Cheng Zhang
  College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
• Lidi Ma
  State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
• Yingwei Luo
  State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
• Fan Zhou
• Shiyuan Wang
  College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
• Cuiping Lin
  State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
• Jiao Li
  CAS Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences Guangzhou 510301 China yinhao@scsio.ac.cn.
• Ma Luo
  From the Departments of Radiology (M. Li, C.L., A.L., L.Z., Jinhui Zhou, D.Z., H.C., Y.X., J.W.) and Pathology (Jing Zhou), The Third Affiliated Hospital, Sun Yat-Sen University, No. 600 Tianhe Rd, Guangzhou, Guangdong, 510630, People's Republic of China; Medical AI Laboratory, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, People's Republic of China (Y.F., B.H.); Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China (H.Y.); Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, People's Republic of China (M. Luo); and Department of Clinical Science, Philips Healthcare China, Shanghai, People's Republic of China (X.Y., W.D., Z.Z.).
• Jianxun He
  Department of Civil Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB, Canada T2N 1N4.
• Guixiao Xu
  Department of Radiology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China. xugx@sysucc.org.cn.
• Yaozong Gao
• Dinggang Shen
  School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
• Ying Sun
  CFAR and I2R, Agency for Science, Technology and Research, Singapore.
• Yonggao Mou
  Department of Neurosurgery, Sun Yat-Sen University Cancer Center, Guang zhou, Guangdong Province, China.
• Rong Zhang
  Internal Medicine - Cardiology Division, UT Southwestern, Dallas, TX, USA.
• Chuanmiao Xie
  Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.

Keywords

External Resources