Patents by Inventor Lucas Fidon

Lucas Fidon 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).

  • System and computer-implemented method for segmenting an image
    Patent number: 11379985
    Abstract: A computer-implemented method for segmenting an input image, the method comprises: generating a first segmentation of the input image using a first machine learning system, the first segmentation comprising multiple segments; receiving, from a user, at least one indication, wherein each indication corresponds to a particular segment from the multiple segments, and indicates one or more locations of the input image as belonging to that particular segment; constructing, for each segment of the multiple segments having at least one corresponding indication, a respective geodesic distance map, based on the input image and the user indications received for that segment; and generating a second segmentation using a second machine learning system based on the input image and the constructed geodesic distance maps.
    Type: Grant
    Filed: June 14, 2018
    Date of Patent: July 5, 2022
    Assignee: King's College London
    Inventors: Guotai Wang, Tom Vercauteren, Sebastien Ourselin, Wenqi Li, Lucas Fidon
  • A System and Computer-Implemented Method for Segmenting an Image
    Publication number: 20200167930
    Abstract: A computer-implemented method for segmenting an input image, the method comprises: generating a first segmentation of the input image using a first machine learning system, the first segmentation comprising multiple segments; receiving, from a user, at least one indication, wherein each indication corresponds to a particular segment from the multiple segments, and indicates one or more locations of the input image as belonging to that particular segment; constructing, for each segment of the multiple segments having at least one corresponding indication, a respective geodesic distance map, based on the input image and the user indications received for that segment; and generating a second segmentation using a second machine learning system based on the input image and the constructed geodesic distance maps.
    Type: Application
    Filed: June 14, 2018
    Publication date: May 28, 2020
    Inventors: Guotai Wang, Tom Vercauteren, Sebastien Ourselin, Wenqi Li, Lucas Fidon