公开(公告)号：US20220254023A1

公开(公告)日：2022-08-11

申请号：US17597876

申请日：2020-06-16

Applicant: Google LLC

Inventor： Scott McKinney ,  Marcin Sieniek ,  Varun Godbole ,  Shravya Shetty ,  Natasha Antropova ,  Jonathan Godwin ,  Christopher Kelly ,  Jeffrey De Fauw

IPC: G06T7/00 ,  G06V10/22 ,  G06V10/82 ,  G16H30/40 ,  G06V10/44 ,  G16H50/20

Abstract: A method is disclosed of processing a set of images. Each image in the set has an associated counterpart image. One or more regions of interest (ROIs) are identified in one or more of the images in the set of images. For ROI identified, a reference region is identified in the associated counterpart image. ROIs and associated reference regions are cropped out, thereby forming cropped pairs of images 1 . . . n1, that are fed to a deep learning model trained to make a prediction of probability of a state of the ROI, e.g., disease state, which generates a prediction Pi-, (i=1 . . . n) for each cropped pair. The model generates an overall prediction P from each of the predictions Pi. A visualization of the set of medical images and the associated counterpart images including the cropped pair of images is generated.