Automatic Detection of Acromegaly From Facial Photographs Using Machine Learning Methods.

Abstract

Authors

• Xiangyi Kong
  Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong, Dongcheng District, Beijing 100730, China; Department of Breast Surgical Oncology, China National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Chaoyangqu, Panjiayuan-Nanli 17, Beijing 100021, PR China.
• Shun Gong
  Department of Neurosurgery, Shanghai Institute of Neurosurgery, PLA Institute of Neurosurgery, Changzheng Hospital, Second Military Medical University, 415 Fengyang Road, Shanghai 200003, China.
• Lijuan Su
  College of Computer Science and Technology, Zhejiang University, No. 38 Zheda Road, Hangzhou, Zhejiang 310027, China; Healthcare big data lab, Tencent Technology (Shenzhen) Company Limited, Kejizhongyi Avenue, Hi-tech Park, Nanshan District, Shenzhen, 518057, China.
• Newton Howard
  Synthetic Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States; Computational Neuroscience Laboratory, Oxford University, Oxford OX1 3QD, UK.
• Yanguo Kong
  Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan Hutong, Dongcheng District, Beijing 100730, China. Electronic address: kongyg@pumch.cn.

Keywords

External Resources