公开(公告)号：US20250117893A1

公开(公告)日：2025-04-10

申请号：US18908549

申请日：2024-10-07

Applicant: Google LLC

Inventor： David Steiner ,  Ellery Alyosha Wulczyn ,  Po-Hsuan Chen ,  Ronnachai Jaroensri ,  Supriya Vijay ,  Jeremy Lai ,  Saloni Agarwal ,  Yun Liu ,  Faruk Ahmed

IPC: G06T5/60 ,  G06T3/40 ,  G06T5/50

Abstract: An example computer-implemented method for self-supervised training of an image processing model for histopathology images is provided. The example method includes obtaining a reference histopathology image; generating an augmented histopathology image, wherein generating the augmented histopathology image comprises performing, for an input image, at least one of the following augmentations: applying a blur to the input image and injecting noise artifacts into the blurred input image; or cropping a plurality of portions from the input image, wherein the plurality of portions are determined based on a minimum overlap criterion that has been updated over one or more iterations; and training the image processing model based on a similarity of latent representations generated by the image processing model respectively for the reference histopathology image and the augmented histopathology image.