Patents by Inventor Jingyi Cheng

Jingyi Cheng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11636340
    Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.
    Type: Grant
    Filed: April 17, 2018
    Date of Patent: April 25, 2023
    Assignees: BGI SHENZHEN, EYE, EAR, NOSE, AND THROAT HOSPITAL OF FUDAN UNIVERSITY
    Inventors: Xiaoqing Liu, Jiaxu Hong, Yong Ni, Shuangshuang Li, Lili Wang, Wei He, Youwen Guo, Yuxuan Liu, Yong Liu, Wei Wang, Ruiqi Xu, Jingyi Cheng, Lijia Tian, Wenbin Chen, Xun Xu
  • Publication number: 20210035689
    Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.
    Type: Application
    Filed: April 17, 2018
    Publication date: February 4, 2021
    Inventors: Xiaoqing Liu, Jiaxu Hong, Yong Ni, Shuangshuang Li, Lili Wang, Wei He, Youwen Guo, Yuxuan Liu, Yong Liu, Wei Wang, Ruiqi Xu, Jingyi Cheng, Lijia Tian, Wenbin Chen, Xun Xu