Patents by Inventor Ramon Oswaldo G. Medina

Ramon Oswaldo G. Medina 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).

  • Automated visual recognition of a microcalcification
    Patent number: 10902586
    Abstract: A computer-implemented method includes receiving an image representing a patient. A filter is applied to the image to produce a filtered image. The filtered image is submitted to a visual recognition tool. A score of the image is determined by the visual recognition tool, based on the filtered image, where the score indicates a likelihood that an abnormality appears in the image.
    Type: Grant
    Filed: May 8, 2018
    Date of Patent: January 26, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Ramon Oswaldo G. Medina, Juan Manuel A. Vega
  • Breast cancer detection
    Patent number: 10657644
    Abstract: A hybrid detection model may be used for breast cancer detection. A system can identify a region of interest on a received mammogram. The region of interest may have a particular level of grey at each pixel of the image. A morphological and entropy filter may then each be applied to the region of interest. Based on the filters, the system may generate a hybrid result that is the average of a combination of the two filters. The system may then segment the region of interest using a selected clustering algorithm.
    Type: Grant
    Filed: July 19, 2019
    Date of Patent: May 19, 2020
    Assignee: International Business Machines Corporation
    Inventors: Juan Manuel A. Vega, Ramón Oswaldo G. Medina, Rubén Ruelas-Lepe
  • AUTOMATED VISUAL RECOGNITION OF A MICROCALCIFICATION
    Publication number: 20190347787
    Abstract: A computer-implemented method includes receiving an image representing a patient. A filter is applied to the image to produce a filtered image. The filtered image is submitted to a visual recognition tool. A score of the image is determined by the visual recognition tool, based on the filtered image, where the score indicates a likelihood that an abnormality appears in the image.
    Type: Application
    Filed: May 8, 2018
    Publication date: November 14, 2019
    Inventors: Ramon Oswaldo G. Medina, Juan Manuel A. Vega
  • BREAST CANCER DETECTION
    Publication number: 20190340756
    Abstract: A hybrid detection model may be used for breast cancer detection. A system can identify a region of interest on a received mammogram. The region of interest may have a particular level of grey at each pixel of the image. A morphological and entropy filter may then each be applied to the region of interest. Based on the filters, the system may generate a hybrid result that is the average of a combination of the two filters. The system may then segment the region of interest using a selected clustering algorithm.
    Type: Application
    Filed: July 19, 2019
    Publication date: November 7, 2019
    Inventors: Juan Manuel A. Vega, Ramón Oswaldo G. Medina, Rubén Ruelas-Lepe
  • Breast cancer detection
    Patent number: 10380739
    Abstract: A hybrid detection model may be used for breast cancer detection. A system can identify a region of interest on a received mammogram. The region of interest may have a particular level of grey at each pixel of the image. A morphological and entropy filter may then each be applied to the region of interest. Based on the filters, the system may generate a hybrid result that is the average of a combination of the two filters. The system may then segment the region of interest using a selected clustering algorithm.
    Type: Grant
    Filed: August 15, 2017
    Date of Patent: August 13, 2019
    Assignee: International Business Machines Corporation
    Inventors: Juan Manuel A. Vega, Ramón Oswaldo G. Medina, Rubén Ruelas-Lepe
  • BREAST CANCER DETECTION
    Publication number: 20190057500
    Abstract: A hybrid detection model may be used for breast cancer detection. A system can identify a region of interest on a received mammogram. The region of interest may have a particular level of grey at each pixel of the image. A morphological and entropy filter may then each be applied to the region of interest. Based on the filters, the system may generate a hybrid result that is the average of a combination of the two filters. The system may then segment the region of interest using a selected clustering algorithm.
    Type: Application
    Filed: August 15, 2017
    Publication date: February 21, 2019
    Inventors: Juan Manuel A. Vega, Ramón Oswaldo G. Medina, Rubén Ruelas-Lepe