Patents by Inventor Françoise Galateau Sallé

Françoise Galateau Sallé 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).

  • SYSTEMS AND METHODS FOR MESOTHELIOMA FEATURE DETECTION AND ENHANCED PROGNOSIS OR RESPONSE TO TREATMENT
    Publication number: 20230306598
    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: Application
    Filed: December 30, 2022
    Publication date: September 28, 2023
    Inventors: Gilles WAINRIB, Thomas CLOZEL, Pierre COURTIOL, Charles MAUSSION, Jean-Yves BLAY, Françoise GALATEAU SALLE
  • Systems and methods for mesothelioma feature detection and enhanced prognosis or response to treatment
    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
  • SYSTEMS AND METHODS FOR MESOTHELIOMA FEATURE DETECTION AND ENHANCED PROGNOSIS OR RESPONSE TO TREATMENT
    Publication number: 20210256699
    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: Application
    Filed: February 25, 2021
    Publication date: August 19, 2021
    Inventors: Gilles Wainrib, Thomas Clozel, Pierre Courtiol, Charles Maussion, Jean-Yves Blay, Françoise Galateau Sallé