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公开(公告)号：US10803585B2
公开(公告)日：2020-10-13
申请号：US16155680
申请日：2018-10-09
Applicant: General Electric Company
Abstract: The present disclosure relates to the classification of images, such as medical images using machine learning techniques. In certain aspects, the technique may employ a distance metric for the purpose of classification, where the distance metric determined for a given image with respect to a homogenous group or class of images is used to classify the image.
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公开(公告)号：US20200111210A1
公开(公告)日：2020-04-09
申请号：US16155680
申请日：2018-10-09
Applicant: General Electric Company
Abstract: The present disclosure relates to the classification of images, such as medical images using machine learning techniques. In certain aspects, the technique may employ a distance metric for the purpose of classification, where the distance metric determined for a given image with respect to a homogenous group or class of images is used to classify the image.
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公开(公告)号：US20240033092A1
公开(公告)日：2024-02-01
申请号：US17877486
申请日：2022-07-29
Applicant: General Electric Company
Inventor： Gautam Parthasarathy , Daniel J. Erno , Chitresh Bhushan , Cathleen Ann Hoel , Sara Kelly Peterson , Jessica Susanne Martinez , Brian Michael Davis , Steven Jude Duclos , Fiona Ginty
IPC: A61F2/30
CPC classification number: A61F2/30771 , A61F2002/3093 , A61F2002/30968 , A61F2310/00179 , A61F2310/00329 , A61F2310/00011 , A61F2002/30112
Abstract: The present discussion relates to the design fabrication and use of synthetic scaffold structure for bone growth. In certain implementations the scaffold structures are comprised of a plurality of repeating structures each defined by a local topology. The local topologies are defined at a subset of points in their respective volumes by various parameters including, but not limited to, shape index, curvedness, mean curvature, and Gauss curvature.
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公开(公告)号：US20200037962A1
公开(公告)日：2020-02-06
申请号：US16051723
申请日：2018-08-01
Applicant: General Electric Company
Inventor： Dattesh Dayanand Shanbhag , Chitresh Bhushan , Arathi Sreekumari , Andre de Almeida Maximo , Rakesh Mullick , Thomas Kwok-Fah Foo
Abstract: The present disclosure relates to use of a workflow for automatic prescription of different radiological imaging scan planes across different anatomies and modalities. The automated prescription of such imaging scan planes helps ensure contiguous visualization of the different landmark structures. Unlike prior approaches, the disclosed technique determines the necessary planes using the localizer images itself and does not explicitly segment or delineate the landmark structures to perform plane prescription.
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