Patents by Inventor Kristian EURÈN

Kristian EURÈN 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).

  • Method and system for detecting pathological anomalies in a digital pathology image and method for annotating a tissue slide
    Patent number: 10572996
    Abstract: A method for annotating a tissue slide image, a system and a method performed by a computing system for detecting pathological anomalies in a digital pathology image are disclosed. The method performed by a computing system for detecting pathological anomalies in a digital pathology image includes providing a digital pathology image to the computing system and analyzing the digital pathology image using an identification module arranged on the computing system. The identification module uses a machine learning module to execute recognizing an object containing an abnormal image pattern using an identification model loaded in said identification module and identifying whether the abnormal image pattern corresponds to a pathological anomaly using the identification model.
    Type: Grant
    Filed: June 28, 2016
    Date of Patent: February 25, 2020
    Assignee: CONTEXTVISION AB
    Inventor: Kristian Eurèn
  • METHOD AND SYSTEM FOR DETECTING PATHOLOGICAL ANOMALIES IN A DIGITAL PATHOLOGY IMAGE AND METHOD FOR ANNOTATING A TISSUE SLIDE
    Publication number: 20170372471
    Abstract: A method for annotating a tissue slide image, a system and a method performed by a computing system for detecting pathological anomalies in a digital pathology image are disclosed. The method performed by a computing system for detecting pathological anomalies in a digital pathology image includes providing a digital pathology image to the computing system and analyzing the digital pathology image using an identification module arranged on the computing system. The identification module uses a machine learning module to execute recognizing an object containing an abnormal image pattern using an identification model loaded in said identification module and identifying whether the abnormal image pattern corresponds to a pathological anomaly using the identification model.
    Type: Application
    Filed: June 28, 2016
    Publication date: December 28, 2017
    Applicant: ContextVision AB
    Inventor: Kristian EURÈN