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91.
公开(公告)号:US20220012865A1
公开(公告)日:2022-01-13
申请号:US17314767
申请日:2021-05-07
Applicant: ELUCID BIOIMAGING INC.
Inventor: Andrew J. BUCKLER , Mark A. Buckler
IPC: G06T7/00 , G06K9/32 , G06K9/46 , G06T11/00 , G16H30/20 , G16H10/60 , G16H50/20 , G16H30/40 , G16H70/60 , A61B6/00
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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公开(公告)号:US20210390689A1
公开(公告)日:2021-12-16
申请号:US17328414
申请日:2021-05-24
Applicant: ELUCID BIOIMAGING INC.
Inventor: Andrew J. BUCKLER , Kjell JOHNSON , Xiaonan MA , Keith A. MOULTON , Mark A. BUCKLER , Vladimir VALTCHINOV , David S. PAIK
IPC: G06T7/00 , G06T7/11 , G06N20/00 , G06N3/08 , G06K9/32 , G06K9/00 , G06T5/00 , G06K9/62 , G06T3/00
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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公开(公告)号:US10740880B2
公开(公告)日:2020-08-11
申请号:US15874474
申请日:2018-01-18
Applicant: ELUCID BIOIMAGING INC.
Inventor: David S. Paik , Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton
IPC: G06T5/00 , G06T7/136 , G06T7/11 , G06T7/194 , G06T7/00 , G06K9/46 , G06K9/62 , G06K9/34 , G06T7/143
Abstract: The present disclosure provides for improved image analysis via novel deblurring and segmentation techniques of image data. These techniques advantageously account for and incorporate segmentation of biological analytes into a deblurring process for an image. Thus, the deblurring of the image may advantageously be optimized for enabling identification and quantitative analysis of one or more biological analytes based on underlying biological models for those analytes. The techniques described herein provide for significant improvements in the image deblurring and segmentation process which reduces signal noise and improves the accuracy of the image. In particular, the system and methods described herein advantageously utilize unique optimization and tissue characteristics image models which are informed by the underlying biology being analyzed, (for example by a biological model for the analytes). This provides for targeted deblurring and segmentation which is optimized for the applied image analytics.
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公开(公告)号:US20190180438A1
公开(公告)日:2019-06-13
申请号:US16203434
申请日:2018-11-28
Applicant: Elucid Bioimaging Inc.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
IPC: G06T7/00
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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公开(公告)号:US20190180153A1
公开(公告)日:2019-06-13
申请号:US16203445
申请日:2018-11-28
Applicant: Elucid Bioimaging Inc.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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公开(公告)号:US20190159737A1
公开(公告)日:2019-05-30
申请号:US16203440
申请日:2018-11-28
Applicant: Elucid Bioimaging Inc.
Inventor: Andrew J. Buckler , Kjell Johnson , Xiaonan Ma , Keith A. Moulton , Mark A. Buckler , Vladimir Valtchinov , David S. Paik
IPC: A61B5/00 , G06T7/00 , G06T5/00 , G06T5/20 , G06T11/00 , G06T11/60 , A61B5/055 , A61B6/00 , A61B8/08 , G16H30/40 , G06N3/08
Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.
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