Automatic detection of horner syndrome by using facial images

HIGHLIGHTS

  • who: Jingyuan Fan and colleagues from the Department of Microsurgery Orthopedic Trauma and Hand Surgery, Te First Afliated Hospital, Sun Yat-Sen University, Guangzhou, China have published the research: Automatic Detection of Horner Syndrome by Using Facial Images, in the Journal: Journal of Healthcare Engineering of 21/Nov/2022
  • what: Te training set was used to train and validate the model, while the testing set was used to evaluate the model`s performance. In this study, both deep learning models are characterized by fast running speed and well performance .
  • how: The dataset was . . .

     

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