Patents by Inventor Yongsheng Sang

Yongsheng Sang 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).

  • Method for positioning key features of a lens based on ocular B-mode ultrasound images
    Patent number: 11723630
    Abstract: A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: August 15, 2023
    Assignee: Sichuan University
    Inventors: Jiancheng Lv, Yong Wang, Yongsheng Sang, Dezhong Peng, Xi Peng, Yanan Sun, Zhenan He, Qing Ye, Mao Li, Quanhui Liu
  • METHOD FOR POSITIONING KEY FEATURES OF A LENS BASED ON OCULAR B-MODE ULTRASOUND IMAGES
    Publication number: 20210353262
    Abstract: A method for positioning key features of a lens based on ocular B-mode ultrasound images includes: acquiring and preprocessing the ocular B-mode ultrasound images to obtain a preprocessed B-mode ultrasound image, eyeball coordinates and lens coordinates; sending the preprocessed B-mode ultrasound image, the eyeball coordinates and the lens coordinates into a trained target detection network YOLOv3 to obtain eyeball position images and lens position images; substituting the eyeball position images and the lens position images into a trained feature extraction network group to obtain image features and feature coordinates corresponding to the eyeball position images and the lens position images, respectively; substituting the image features into a trained collaborative learning network to screen key image features; and marking a feature coordinate corresponding to the key image features on the ocular B-mode ultrasound images to complete positioning the key features of the lens.
    Type: Application
    Filed: April 9, 2021
    Publication date: November 18, 2021
    Applicant: Sichuan University
    Inventors: Jiancheng Lv, Yong Wang, Yongsheng Sang, Dezhong Peng, Xi Peng, Yanan Sun, Zhenan He, Qing Ye, Mao Li, Quanhui Liu