公开(公告)号：US20210209753A1

公开(公告)日：2021-07-08

申请号：US17123658

申请日：2020-12-16

Applicant: PAIGE.AI, Inc.

Inventor： Belma DOGDAS ,  Christopher KANAN ,  Thomas FUCHS ,  Leo GRADY ,  Kenan TURNACIOGLU

IPC: G06T7/00 ,  G06T7/11 ,  G06K9/00

Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.

公开(公告)号：US20230030216A1

公开(公告)日：2023-02-02

申请号：US17938255

申请日：2022-10-05

Applicant: PAIGE.AI, Inc.

Inventor： Belma DOGDAS ,  Christopher KANAN ,  Thomas FUCHS ,  Leo GRADY ,  Kenan TURNACIOGLU

IPC: G06T7/00 ,  G06T7/11 ,  G06V20/69

Abstract: Systems and methods are disclosed for receiving a digital image corresponding to a target specimen associated with a pathology category, wherein the digital image is an image of tissue specimen, determining a detection machine learning model, the detection machine learning model being generated by processing a plurality of training images to output a cancer qualification and further a cancer quantification if the cancer qualification is an confirmed cancer qualification, providing the digital image as an input to the detection machine learning model, receiving one of a pathological complete response (pCR) cancer qualification or a confirmed cancer quantification as an output from the detection machine learning model, and outputting the pCR cancer qualification or the confirmed cancer quantification.