Patents by Inventor Gediminas PEK{hacek over (S)}YS

Gediminas PEK{hacek over (S)}YS 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).

  • Methods, systems and use for detecting irregularities in medical images by means of a machine learning model
    Patent number: 11037295
    Abstract: A method for training a computer-implemented machine learning model for detecting irregularities in medical images, the method including: identifying at least one predetermined type of body region (14) depicted in a medical image (10), said body region (14) having a depicted irregularity (12); defining a plurality of image segments (20) each including at least part of the depicted body region (14), wherein a resolution of the image segments (20) is maintained or not reduced by more than 20% compared to the medical image (10); and using said image segments (20) to train a machine learning model to detect similar irregularities (12) in other medical images (10). Further, the invention relates to a use and to systems for training a computer-implemented machine learning model for detecting irregularities in medical images.
    Type: Grant
    Filed: November 8, 2019
    Date of Patent: June 15, 2021
    Assignee: OXIPIT, UAB
    Inventors: Jogundas Armaitis, Darius Baru{hacek over (s)}auskas, Jonas Bialopetravi{hacek over (c)}ius, Gediminas Pek{hacek over (s)}ys, Naglis Ramanauskas
  • METHODS, SYSTEMS AND USE FOR DETECTING IRREGULARITIES IN MEDICAL IMAGES BY MEANS OF A MACHINE LEARNING MODEL
    Publication number: 20200151873
    Abstract: A method for training a computer-implemented machine learning model for detecting irregularities in medical images, the method including: identifying at least one predetermined type of body region (14) depicted in a medical image (10), said body region (14) having a depicted irregularity (12); defining a plurality of image segments (20) each including at least part of the depicted body region (14), wherein a resolution of the image segments (20) is maintained or not reduced by more than 20% compared to the medical image (10); and using said image segments (20) to train a machine learning model to detect similar irregularities (12) in other medical images (10). Further, the invention relates to a use and to systems for training a computer-implemented machine learning model for detecting irregularities in medical images.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 14, 2020
    Applicant: OXIPIT, UAB
    Inventors: Jogundas ARMAITIS, Darius BARU{hacek over (S)}AUSKAS, Jonas BIALOPETRAVICIUS, Gediminas PEK{hacek over (S)}YS, Naglis RAMANAUSKAS