Patents by Inventor Shu Wei Daniel Ting

Shu Wei Daniel Ting 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 of modifying a retina fundus image for a deep learning model
    Patent number: 11200707
    Abstract: A method of modifying a retina fundus image for a deep learning model is disclosed. In a described embodiment, the method includes converting a retina fundus image to a binary image by converting pixels of the retina fundus image to low intensity modified pixels and high intensity modified pixels of the binary image, and determining a first boundary between the low intensity modified pixels and high intensity modified pixels of the binary image. The method further includes removing outlier boundary values from the first boundary, constructing a second boundary from remaining boundary values, identifying the pixels of the retina fundus image that are within the second boundary, and constructing a modified retina fundus image containing the identified pixels for a deep learning model.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: December 14, 2021
    Assignees: National University of Singapore, Singapore Health Services Pte Ltd
    Inventors: Wynne Hsu, Mong Li Lee, Gilbert Lim, Tien Yin Wong, Shu Wei Daniel Ting
  • METHOD OF MODIFYING A RETINA FUNDUS IMAGE FOR A DEEP LEARNING MODEL
    Publication number: 20200211235
    Abstract: A method of modifying a retina fundus image for a deep learning model is disclosed. In a described embodiment, the method includes converting a retina fundus image to a binary image by converting pixels of the retina fundus image to low intensity modified pixels and high intensity modified pixels of the binary image, and determining a first boundary between the low intensity modified pixels and high intensity modified pixels of the binary image. The method further includes removing outlier boundary values from the first boundary, constructing a second boundary from remaining boundary values, identifying the pixels of the retina fundus image that are within the second boundary, and constructing a modified retina fundus image containing the identified pixels for a deep learning model.
    Type: Application
    Filed: July 24, 2018
    Publication date: July 2, 2020
    Applicants: National University of Singapore, Singapore Health Services Pte Ltd
    Inventors: Wynne Hsu, Mong Li Lee, Gilbert Lim, Tien Yin Wong, Shu Wei Daniel Ting