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公开(公告)号:US11682098B2
公开(公告)日:2023-06-20
申请号:US17231891
申请日:2021-04-15
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski
IPC分类号: G06T1/20 , G06T7/00 , G06T7/11 , G06T11/00 , G06F18/21 , G06F18/2431 , G06V10/764 , G06V10/82 , G06V10/44
CPC分类号: G06T1/20 , G06F18/21 , G06F18/2431 , G06T7/0012 , G06T7/11 , G06T11/00 , G06V10/44 , G06V10/764 , G06V10/82 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096
摘要: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
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公开(公告)号:US20210166785A1
公开(公告)日:2021-06-03
申请号:US17139765
申请日:2020-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
IPC分类号: G16B30/00 , C12Q1/6869 , G16B50/30
摘要: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
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公开(公告)号:US11348661B2
公开(公告)日:2022-05-31
申请号:US17139765
申请日:2020-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
IPC分类号: G16B30/00 , G16B50/30 , C12Q1/6869
摘要: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
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公开(公告)号:US11348240B2
公开(公告)日:2022-05-31
申请号:US17139798
申请日:2020-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
摘要: A method for predicting an expected yield of nucleic acid from tumor cells within a dissection boundary on a hematoxylin and eosin (H&E) slide is provided.
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公开(公告)号:US10991097B2
公开(公告)日:2021-04-27
申请号:US16732242
申请日:2019-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski
摘要: Techniques for generating an overlay map on a digital medical image of a slide are provided, and include cell detection and tissue classification processes. Techniques include receiving a medical image, separating the image into tiles, and performing tile classifications and tissue classifications based on a multi-tile analysis. Techniques additionally include identifying cell objects in the image, separating the image into and displaying polygons identifying the cell objects and cell classifications. Generated displays may be overlays over the initial digital image.
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公开(公告)号:US20220293218A1
公开(公告)日:2022-09-15
申请号:US17829228
申请日:2022-05-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
IPC分类号: G16B30/00 , G16B50/30 , C12Q1/6869
摘要: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
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公开(公告)号:US10957041B2
公开(公告)日:2021-03-23
申请号:US16830186
申请日:2020-03-25
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis
摘要: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
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公开(公告)号:US20200258223A1
公开(公告)日:2020-08-13
申请号:US16830186
申请日:2020-03-25
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis
摘要: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
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公开(公告)号:US20200211189A1
公开(公告)日:2020-07-02
申请号:US16732242
申请日:2019-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski
摘要: Techniques for generating an overlay map on a digital medical image of a slide are provided, and include cell detection and tissue classification processes. Techniques include receiving a medical image, separating the image into tiles, and performing tile classifications and tissue classifications based on a multi-tile analysis. Techniques additionally include identifying cell objects in the image, separating the image into and displaying polygons identifying the cell objects and cell classifications. Generated displays may be overlays over the initial digital image.
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公开(公告)号:US11935152B2
公开(公告)日:2024-03-19
申请号:US18123959
申请日:2023-03-20
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis
IPC分类号: G06T1/20 , G06F18/21 , G06F18/2431 , G06T7/00 , G06T7/11 , G06T11/00 , G06V10/44 , G06V10/764 , G06V10/82
CPC分类号: G06T1/20 , G06F18/21 , G06F18/2431 , G06T7/0012 , G06T7/11 , G06T11/00 , G06V10/44 , G06V10/764 , G06V10/82 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096
摘要: A system for identifying biomarkers in a digital image of a Hematoxylin and Eosin-stained slide of a target tissue includes a processor and an electronic network; and a memory having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to: process segmented tile images determine a predicted biomarker presence; and transmit the predicted presence. A non-transitory computer-readable medium includes a set of computer-executable instructions that, when executed by one or more processors, cause a computer to: process segmented tile images; determine a predicted biomarker presence; and transmit the predicted presence. A computer-implemented method includes processing segmented tile images; determining a predicted biomarker presence; and transmitting the predicted presence.
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