Patents Assigned to Owkin France SAS
  • Patent number: 11562585
    Abstract: A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the device segments the image into a region of interest that includes information useful for classification and a background region by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: January 24, 2023
    Assignees: OWKIN, INC., OWKIN FRANCE SAS
    Inventors: Pierre Courtiol, Olivier Moindrot, Charles Maussion, Charlie Saillard, Benoit Schmauch, Gilles Wainrib
  • Patent number: 11544851
    Abstract: A method and apparatus of a device that classifies a mesothelioma image is described. In an exemplary embodiment, the device segments the mesothelioma image into a region of interest that includes information useful for classification, and a background region, by applying a first convolutional neural network. In addition, the device tiles the region of interest into a set of tiles. For each tile, the device extracts a feature vector of that tile by applying a second convolutional neural network, where the features of the feature vectors represent local descriptors of the tile. Furthermore, the device processes the extracted feature vectors of the set of tiles to classify the image.
    Type: Grant
    Filed: February 25, 2021
    Date of Patent: January 3, 2023
    Assignees: OWKIN, INC., OWKIN FRANCE SAS
    Inventors: Gilles Wainrib, Thomas Clozel, Pierre Courtiol, Charles Maussion, Jean-Yves Blay, Françoise Galateau Sallé
  • Patent number: 11482022
    Abstract: A method and apparatus of a device that classifies an image is described. In an exemplary embodiment, the method includes tiling at least one region of interest of the input image into a set of tiles. For each tile, the method includes extracting a feature vector of the tile by applying a convolutional neural network, wherein a feature is a local descriptor of the tile; and computing a score of the tile from the extracted feature vector, said tile score being representative of a contribution of the tile into a classification of the input image. The method also includes sorting a set of the tile scores and selecting a subset of the tile scores based on their value and/or their rank in the sorted set. The method also includes applying a classifier to the selected tile scores in order to classify the input image.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: October 25, 2022
    Assignees: Owkin, Inc., Owkin France SAS
    Inventors: Pierre Courtiol, Eric W. Tramel, Marc Sanselme, Gilles Wainrib