Noninvasive Deep Learning System for Preoperative Diagnosis of Follicular-Like Thyroid Neoplasms Using Ultrasound Images: A Multicenter, Retrospective Study.

Journal: Annals of surgery
Published Date:

Abstract

OBJECTIVE: To propose a deep learning (DL) system for the preoperative diagnosis of follicular-like thyroid neoplasms (FNs) using routine ultrasound images.

Authors

  • Hui Shen
    College of Mechatronics and Automation, National University of Defense Technology, Changsha, China.
  • Yue Huang
    Xiamen University, Xiamen, Fujian 361005, China.
  • Wenxiao Yan
    Department of Ultrasound, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
  • Chifa Zhang
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
  • Ting Liang
    Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
  • Dan Yang
    Baotou Medical College Baotou Inner Mongolia 014060 China 610283014@qq.com dongjiani369@126.com wgdzd@126.com +86 13847201181 +86 13514899325 +86 13474977691.
  • Xiaoxiao Feng
    Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai, China.
  • Shuyi Liu
    The Experimental High School Attached to Beijing Normal University, No. 14 Erlong Road, Beijing 100051, PR China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Weihan Cao
    Department of Ultrasound, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
  • Ying Cheng
    Changchun SCI-TECH University, Jilin Changchun 130600, China.
  • Hongyan Chen
    Department of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
  • Qiujie Ni
    Department of Ultrasound, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
  • Fei Wang
    Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, New York, NY, United States.
  • Jingjing You
    Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Zhe Jin
    Zhejiang University, College of Computer Science and Technology, Hangzhou, China.
  • WenLe He
    Department of Radiology, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
  • Jie Sun
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, People's Republic of China.
  • Dexing Yang
    Department of Pathology, The People's Hospital of Wenshan Prefecture, Wenshan, Yunnan, China.
  • Lijuan Liu
    New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, Jiangsu 210096, China.
  • Boling Cao
    Department of Ultrasound, Zhuhai Clinical Medical College of Jinan University (Zhuhai People's Hospital), Zhuhai, Guangdong, China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Yingjia Li
    Department of Ultrasound, Nanfang Hospital, Southern Medical University, 1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong Province, P. R. China. lyjia@smu.edu.cn.
  • Shufang Pei
    Department of Ultrasound, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
  • Shuixing Zhang
    Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, PR China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, Guangdong, PR China. Electronic address: shui7515@126.com.
  • Bin Zhang
    Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Keywords

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