公开(公告)号：US09757073B2

公开(公告)日：2017-09-12

申请号：US14437990

申请日：2013-10-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Liran Goshen ,  Yechiel Lamash ,  Guy Gilboa

IPC: G06K9/00 ,  A61B5/00 ,  A61B6/03 ,  A61B6/00 ,  A61B5/02 ,  A61B5/021 ,  A61B5/026 ,  A61B5/107

CPC classification number: A61B5/7267 ,  A61B5/02007 ,  A61B5/021 ,  A61B5/0263 ,  A61B5/1075 ,  A61B6/032 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5217

Abstract: As described herein, an unknown FFR is classified based on certain extracted features. In addition, an estimation of the unknown FFR can be determined based on certain extracted features. Furthermore, a confidence interval can be determined for the estimated FFR. In another instance, boundary conditions for determining an FFR via simulation are determined. The boundary conditions can be used to classify the unknown FFR.

公开(公告)号：US10095904B2

公开(公告)日：2018-10-09

申请号：US14888952

申请日：2014-05-04

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Shlomo Gotman ,  Guy Gilboa

IPC: G06K7/10 ,  G06K7/14 ,  G06F19/00 ,  G16H40/63

Abstract: A method includes at least a portion of an image displayed on a video screen or film, and generating a signal indicative thereof, wherein the at least a portion of the image includes encoded information identifying at least one of a visualization tool or information that are not available without the encoded information, identifying and reading the encoded information, and at least one of invoking the visualization tool or displaying the information identified and read from the encoded information.

公开(公告)号：US20150282765A1

公开(公告)日：2015-10-08

申请号：US14437990

申请日：2013-10-24

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Liran Goshen ,  Yechiel Lamash ,  Guy Gilboa

IPC: A61B5/00 ,  A61B6/00 ,  A61B5/02 ,  A61B5/021 ,  A61B5/107 ,  A61B6/03 ,  A61B5/026

CPC classification number: A61B5/7267 ,  A61B5/02007 ,  A61B5/021 ,  A61B5/0263 ,  A61B5/1075 ,  A61B6/032 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5217

Abstract: As described herein, an unknown FFR is classified based on certain extracted features. In addition, an estimation of the unknown FFR can be determined based on certain extracted features. Furthermore, a confidence interval can be determined for the estimated FFR. In another instance, boundary conditions for determining an FFR via simulation are determined. The boundary conditions can be used to classify the unknown FFR.

Abstract translation: 如本文所述，基于某些提取的特征来分类未知FFR。 此外，可以基于某些提取的特征来确定未知FFR的估计。 此外，可以为估计的FFR确定置信区间。 在另一个实例中，确定通过模拟确定FFR的边界条件。 边界条件可用于对未知FFR进行分类。