Patents by Inventor Ke P. YAN

Ke P. YAN 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).

  • Patent number: 11701066
    Abstract: A method for performing a computer-aided diagnosis (CAD) includes: acquiring a medical image set; generating a three-dimensional (3D) tumor distance map corresponding to the medical image set, each voxel of the tumor distance map representing a distance from the voxel to a nearest boundary of a primary tumor present in the medical image set; and performing neural-network processing of the medical image set to generate a predicted probability map to predict presence and locations of oncology significant lymph nodes (OSLNs) in the medical image set, wherein voxels in the medical image set are stratified and processed according to the tumor distance map.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: July 18, 2023
    Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
    Inventors: Ke P Yan, Zhuotun Zhu, Dakai Jin, Jinzheng Cai, Adam P Harrison, Dazhou Guo, Le Lu
  • Publication number: 20210233240
    Abstract: A method for performing a computer-aided diagnosis (CAD) includes: acquiring a medical image set; generating a three-dimensional (3D) tumor distance map corresponding to the medical image set, each voxel of the tumor distance map representing a distance from the voxel to a nearest boundary of a primary tumor present in the medical image set; and performing neural-network processing of the medical image set to generate a predicted probability map to predict presence and locations of oncology significant lymph nodes (OSLNs) in the medical image set, wherein voxels in the medical image set are stratified and processed according to the tumor distance map.
    Type: Application
    Filed: November 11, 2020
    Publication date: July 29, 2021
    Inventors: Ke P. YAN, Zhuotun ZHU, Dakai JIN, Jinzheng CAI, Adam P. HARRISON, Dazhou GUO, Le LU