Patents by Inventor Nicolas THOME

Nicolas THOME 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).

  • Automatic segmentation process of a 3D medical image by several neural networks through structured convolution according to the geometry of the 3D medical image
    Patent number: 11551362
    Abstract: This invention concerns an automatic segmentation method of features, such as anatomical and pathological structures or instruments, which are visible in a 3D medical image of a subject, composed of voxels. Said method being characterised in that it consists in providing a global software means or arrangement combining N different convolutional neural networks or CNNs, with N?2, and having a structured geometry or architecture adapted and comparable to that of the image volume, and in analysing voxels forming said volume of the 3D image according to N different reconstruction axes or planes, each CNN being allocated to the analysis of the voxels belonging to one axis or plane.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: January 10, 2023
    Assignees: INSTITUT DE RECHERCHE SUR LES CANCERS DE I, VISIBLE PATIENT
    Inventors: Luc Soler, Nicolas Thome, Alexandre Hostettler, Jacques Marescaux
  • Automatic segmentation process of a 3D medical image by one or several neural networks through structured convolution according to the anatomic geometry of the 3D medical image
    Patent number: 11288812
    Abstract: This invention concerns an automatic segmentation method of a medical image making use of a knowledge database containing information about the anatomical and pathological structures or instruments, that can be seen in a 3D medical image of a×b×n dimension, i.e. composed of n different 2D images each of a×b dimension. Said method being characterised in that it mainly comprises three process steps, namely: a first step consisting in extracting from said medical image nine sub-images (1 to 9) of a/2×b/2×n dimensions, i.e.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: March 29, 2022
    Assignees: INSTITUT DE RECHERCHE SUR LES CANCERS DE I, VISIBLE PATIENT
    Inventors: Luc Soler, Nicolas Thome, Alexandre Hostettler, Jacques Marescaux
  • Automatic segmentation process of a 3D medical image by several neural networks through structured convolution according to the geometry of the 3D medical image
    Publication number: 20200334826
    Abstract: This invention concerns an automatic segmentation method of features, such as anatomical and pathological structures or instruments, which are visible in a 3D medical image of a subject, composed of voxels. Said method being characterised in that it consists in providing a global software means or arrangement combining N different convolutional neural networks or CNNs, with N?2, and having a structured geometry or architecture adapted and comparable to that of the image volume, and in analysing voxels forming said volume of the 3D image according to N different reconstruction axes or planes, each CNN being allocated to the analysis of the voxels belonging to one axis or plane.
    Type: Application
    Filed: January 10, 2019
    Publication date: October 22, 2020
    Inventors: Luc SOLER, Nicolas THOME, Alexandre HOSTETTLER, Jacques MARESCAUX
  • Automatic segmentation process of a 3D medical image by one or several neural networks through structured convolution according to the anatomic geometry of the 3D medical image
    Publication number: 20200334827
    Abstract: This invention concerns an automatic segmentation method of a medical image making use of a knowledge database containing information about the anatomical and pathological structures or instruments, that can be seen in a 3D medical image of a×b×n dimension, i.e. composed of n different 2D images each of a×b dimension. Said method being characterised in that it mainly comprises three process steps, namely: a first step consisting in extracting from said medical image nine sub-images (1 to 9) of a/2×b/2×n dimensions, i.e.
    Type: Application
    Filed: January 10, 2019
    Publication date: October 22, 2020
    Inventors: Luc SOLER, Nicolas THOME, Alexandre HOSTETTLER, Jacques MARESCAUX