Invention Grant
- Patent Title: Systems and methods for processing electronic images for computational assessment of disease
-
Application No.: US17123658Application Date: 2020-12-16
-
Publication No.: US11494907B2Publication Date: 2022-11-08
- Inventor: Belma Dogdas , Christopher Kanan , Thomas Fuchs , Leo Grady , Kenan Turnacioglu
- Applicant: PAIGE.AI, Inc.
- Applicant Address: US NY New York
- Assignee: PAIGE.AI, Inc.
- Current Assignee: PAIGE.AI, Inc.
- Current Assignee Address: US NY New York
- Agency: Bookoff McAndrews, PLLC
- Main IPC: G06T7/00
- 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.
Public/Granted literature
- US20210209753A1 SYSTEMS AND METHODS FOR PROCESSING ELECTRONIC IMAGES FOR COMPUTATIONAL ASSESSMENT OF DISEASE Public/Granted day:2021-07-08
Information query