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公开(公告)号：US12131473B2
公开(公告)日：2024-10-29
申请号：US18523098
申请日：2023-11-29
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G06F18/214 , G16H30/40 , G16H50/20
CPC分类号： G06T7/0012 , G06F18/214 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06V2201/03
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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公开(公告)号：US11869185B2
公开(公告)日：2024-01-09
申请号：US17804123
申请日：2022-05-26
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G16H50/20 , G16H30/40 , G06F18/214
CPC分类号： G06T7/0012 , G06F18/214 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06V2201/03
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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3.发明授权公开(公告)号：US11227684B2
公开(公告)日：2022-01-18
申请号：US17119885
申请日：2020-12-11
申请人： PAIGE.AI, Inc.
摘要： Systems and methods are disclosed for determining at least one geographic region of a plurality of geographic regions, at least one data variable, and/or at least one health variable, estimating a current prevalence of a data variable in a geographic region of the plurality of geographic regions, determining a trend in a relationship between the data variable and the geographic region at a current time, determining a second trend in the relationship between the data variable and the geographic region at at least one prior point in time, determining if the trend in the relationship is irregular within a predetermined threshold with respect to the second trend from the at least one prior point in time, and, upon determining that the trend in the relationship is irregular within a predetermined threshold, generating an alert.
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公开(公告)号：US11901064B2
公开(公告)日：2024-02-13
申请号：US18181630
申请日：2023-03-10
申请人： PAIGE.AI, Inc.
CPC分类号： G16H30/20 , G06N20/00 , G06T7/0012 , G16H30/40 , G16H50/50 , G06T7/11 , G06T2207/20081 , G06T2207/20084 , G06T2207/20112 , G06T2207/20212 , G06T2207/30004
摘要： Systems and methods are disclosed for generating synthetic medical images, including images presenting rare conditions or morphologies for which sufficient data may be unavailable. In one aspect, style transfer methods may be used. For example, a target medical image, a segmentation mask identifying style(s) to be transferred to area(s) of the target, and source medical image(s) including the style(s) may be received. Using the mask, the target may be divided into tile(s) corresponding to the area(s) and input to a trained machine learning system. For each tile, gradients associated with a content and style of the tile may be output by the system. Pixel(s) of at least one tile of the target may be altered based on the gradients to maintain content of the target while transferring the style(s) of the source(s) to the target. The synthetic medical image may be generated from the target based on the altering.
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公开(公告)号：US11676274B2
公开(公告)日：2023-06-13
申请号：US17654614
申请日：2022-03-14
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G16H50/20 , G16H30/40 , G06F18/214
CPC分类号： G06T7/0012 , G06F18/214 , G16H30/40 , G16H50/20 , G06T2207/10056 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096 , G06V2201/03
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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6.发明授权公开(公告)号：US11436727B2
公开(公告)日：2022-09-06
申请号：US17406002
申请日：2021-08-18
申请人： PAIGE.AI, Inc.
摘要： Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.
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7.发明授权公开(公告)号：US11727564B2
公开(公告)日：2023-08-15
申请号：US17815671
申请日：2022-07-28
申请人： PAIGE.AI, Inc.
IPC分类号： G06T7/00 , G06T7/11 , G16H50/20 , G06N20/00 , G06V10/762 , G06V30/19 , G16B40/00 , G06F18/23213
CPC分类号： G06T7/0012 , G06F18/23213 , G06N20/00 , G06T7/11 , G06V10/763 , G06V30/19107 , G16B40/00 , G16H50/20 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096
摘要： Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.
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8.发明授权公开(公告)号：US11308616B2
公开(公告)日：2022-04-19
申请号：US17391997
申请日：2021-08-02
申请人： PAIGE.AI, Inc.
摘要： Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.
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公开(公告)号：US11062801B2
公开(公告)日：2021-07-13
申请号：US17137769
申请日：2020-12-30
申请人： PAIGE.AI, Inc.
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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10.发明授权公开(公告)号：US10937541B2
公开(公告)日：2021-03-02
申请号：US16884978
申请日：2020-05-27
申请人： PAIGE.AI, Inc.
摘要： Systems and methods are disclosed for processing an electronic image corresponding to a specimen. One method for processing the electronic image includes: receiving a target electronic image of a slide corresponding to a target specimen, the target specimen including a tissue sample from a patient, applying a machine learning system to the target electronic image to determine deficiencies associated with the target specimen, the machine learning system having been generated by processing a plurality of training images to predict stain deficiencies and/or predict a needed recut, the training images including images of human tissue and/or images that are algorithmically generated; and based on the deficiencies associated with the target specimen, determining to automatically order an additional slide to be prepared.
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