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41.发明授权公开(公告)号：US11309074B2
公开(公告)日：2022-04-19
申请号：US17346923
申请日：2021-06-14
Applicant: PAIGE.AI, Inc.
Inventor： Rodrigo Ceballos Lentini , Christopher Kanan , Patricia Raciti , Leo Grady , Thomas Fuchs
Abstract: 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：US11182899B2
公开(公告)日：2021-11-23
申请号：US17119767
申请日：2020-12-11
Applicant: PAIGE.AI, Inc.
Inventor： Patricia Raciti , Christopher Kanan , Thomas Fuchs , Leo Grady
Abstract: Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, detecting one or more image regions from a background of the one or more digital images, determining a prediction, using a machine learning system, of whether at least one first image region of the one or more image regions comprises at least one external contaminant, the machine learning system having been trained using a plurality of training images to predict a presence of external contaminants and/or a location of any external contaminants present in the tissue specimen, and determining, based on the prediction of whether a first image region comprises an external contaminant, whether to process the image region using an processing algorithm.
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43.发明授权公开(公告)号：US11042807B2
公开(公告)日：2021-06-22
申请号：US17112435
申请日：2020-12-04
Applicant: PAIGE.AI, Inc.
Inventor： Supriya Kapur , Christopher Kanan , Thomas Fuchs , Leo Grady
Abstract: Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model, which may also be known as a machine learning system, to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.
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44.发明授权公开(公告)号：US10891550B2
公开(公告)日：2021-01-12
申请号：US16875616
申请日：2020-05-15
Applicant: PAIGE.AI, Inc.
Inventor： Supriya Kapur , Christopher Kanan , Thomas Fuchs , Leo Grady
Abstract: Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.
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